Curriculum Vitae

Daniel N. Bullock

iisdanbul@gmail.com; DanNBullock.github.io

ManassasB, VA, USA

Whether conducting research, developing software, working with data, or advancing policy, my work aims to improve the efficiency and impact of the collective activities of the broader scientific community. Across the entire spectrum of scientific endeavors--all the way from bench work to policy and even philosophical conceptualization--I strive to foster the virtuous cycle of insight formation, validation, and extension. In our modern era of research these priorities demand a critical focus on all levels of the socio-technical processes associated with how we produce, interact, store, share, and use data. My work is dedicated to the advancement of these processes, and the development of tools and practices that support the scientific community in these endeavors.

Education

Ph.D., Psychology, Neuroscience
at Indiana University Bloomington (Bloomington, IN),
Department of Psychological and Brain Sciences, Program in Neuroscience
6 / 2015 to 6 / 2021
B.S., Biology
at North Carolina State University (Raleigh, NC),
Department of Biological Sciences

Minor(s): Math, Genetics
8 / 2005 to 5 / 2006, &
8 / 2012 to 5 / 2015
Graduate Program, Philosophy
at University of Cincinnati (Cincinnati, OH),
Department of Philosophy
8 / 2009 to 5 / 2011
B.A., Psychology, Philosophy
at University of North Carolina at Chapel Hill (Chapel Hill, NC),
Department of Psychology and Neuroscience

Minor(s): Cognitive Science
8 / 2006 to 5 / 2009

Experience

Science and Engineering Technical Advisor (SETA) [Contractor]
at The Advanced Research Projects Agency for Health (ARPA-H) (Washington, D.C.),
Health Science Futures (HSF)

Supervised by Ileana Hancu()
Domain: Technology Development and Transfer
Type: Project Management, Research
Dates: 7 / 2024
Workload: 40 hrs per week
Primary Science & Engineering Technical Advisor (SETA) overseeing a portfolio of ARPA-H (80M lifetime budget). Provide technical guidance to performer teams and ARPA-H staff, engage internal and external stakeholders, review incoming proposals, and track milestone progress. Scope and design new ARPA-H programs — developed the initial structure and vision for the Systematic Targeting Of MicroPlastics (STOMP) program and served as primary architect of the major technical requirements (TA-2) for the Imaging Data Exchange (INDEX) program.
Technical skills: Dataset Quality Assessment, Data Science, Data Visualization, Figure Generation, Platform Design
Non-technical skills: Problem Scoping, Project Management, Documentation, Literature Review, Budget Oversight, Program Management, Proposal Review, Report Development
Science and Technology Policy Fellow
at National Science Foundation (Alexandria, VA),
Computer and Information Science and Engineering, Office of Advanced Cyberinfrastructure

Supervised by Alejandro Suarez() , Robert Beverly()
Domain: Science and Cyberinfrastructure
Type: Research, Policy
Dates: 8 / 2022 to 7 / 2024
Workload: 40 hrs per week
AAAS Science & Technology Policy Fellow in NSF's Office of Advanced Cyberinfrastructure (OAC), supporting open-science and cyberinfrastructure policy. Contributed to the Pathways to Open Source Ecosystems (POSE) program (panels, program-description revision, triage) and to NSF Public Access efforts; member of the NSF team coordinating the multi-agency National AI Research Resource (NAIRR) Pilot, developing data-related practices and policies. For the OSTP Subcommittee on Open Science's Open Science Infrastructure (OSI) Working Group, analyzed openly available federal-agency data and authored the findings in a report on agency investments in open-science infrastructure.
Technical skills: Python, Linux, Git, XML, JSON, Big Data, Data Scraping, Dataset Quality Assessment, Data Science, Data Visualization, Figure Generation, Jupyter Notebooks, Open-Source Software
Non-technical skills: Problem Scoping, Project Management, Documentation, Science Communication, Grant Management, Program Management, Grant Review, Literature Review, Science Policy, Data Policy, Policy Drafting, Report Development, Interagency Working Groups
Postdoctoral Researcher
at University of Minnesota (Minneapolis, MN),
Medical School, Department of Neuroscience

Supervised by Sarah Heilbronner() , Jan Zimmermann()
Domain: Computational Neuroanatomy
Type: Research
Dates: 7 / 2021 to 7 / 2022
Workload: 40+ hrs per week
Postdoctoral researcher in computational neuroanatomy developing automated segmentation methods for the brain's major white-matter tracts from tractography, using cross-species and literature-based anatomy. Visualized tractography and segmentation results, quantified tract properties, and developed, documented, and maintained code repositories for replicability. Resulting tools enabled cross-referencing of non-humanprimate 'ground-truth' connectivity against imaging-based human connectivity, and served as anatomy models supporting development of deep brain stimulation (DBS) techniques and technologies.
Technical skills: Python, Linux, Git, Docker, Neuroimaging, Neuroanatomy, Neuroscience, Brain Imaging Data Structure (BIDS), Neuroimaging Data Processing, Medical Image Processing, Bash and Shell Scripting, Big Data, Dataset Quality Assessment, Data Science, Jupyter Notebooks, Containerization, Open-Source Development, Open-Source Software, High Performance Computing (HPC), Data Visualization, Testing and Debugging, Coordinated/Collaborative Testing and Debugging, Statistical Analysis, Advanced Statistical Analysis
Non-technical skills: Problem Scoping, Project Management, Documentation, Science Communication, Manuscript Production, Manuscript Editing, Mentorship
Application developer and maintainer
at Indiana University Bloomington (Bloomington, IN),
Department of Psychological and Brain Sciences, Program in Neuroscience

Supervised by Franco Pestilli() , Soichi Hayashi()
Domain: Platform Development
Type: Development
Dates: 7 / 2017 to 7 / 2023
Workload: ~ 5 - 10 hrs per week
Application developer for the brainlife.io platform, producing and maintaining containerized brain-data processing applications that drastically simplified use of advanced processing and analysis techniques. Contributed testing, monitoring, and feedback on service deployment and coordination; created novel data-processing and visualization code and adapted existing resources. Led scoping, creation, and maintenance of specific data formats/standards.
Technical skills: Python, Matlab, JSON, Markdown, Linux, Git, Neuroimaging Software Packages, Brain Imaging Data Structure (BIDS), Neuroimaging, Neuroimaging Data Structures, Neuroimaging Data Processing, 3-D Image Processing, Bash and Shell Scripting, Big Data, Dataset Quality Assessment, Data Science, Docker, Containerization, High Performance Computing (HPC), Continuous Integration and Continuous Delivery/Deployment (CI/CD), Testing and Debugging, Collaborative Development, Data Visualization, Advanced Statistical Analysis
Non-technical skills: Problem Scoping, Project Management, Task Specialization, Multi-endeavor Balancing and Prioritization, Documentation, Stakeholder Engagement, Rapid Iteration Production, Long-Term Product/Project Maintenance, Soliciting and Incorporating Client Feedback, Progress Reporting
Graduate Student/Researcher
at Indiana University Bloomington (Bloomington, IN),
Department of Psychological and Brain Sciences, Program in Neuroscience

Supervised by Franco Pestilli()
Domain: Computational Neuroanatomy
Type: Research
Dates: 6 / 2015 to 6 / 2021
Workload: 40+ hrs per week
Graduate researcher in computational neuroanatomy developing and implementing automated segmentation methods for major white-matter tracts from tractography, enabling personalized models of brain anatomy and connectivity. Visualized segmentation results and quantified tract properties. Developed tractography quality-assurance methods.
Technical skills: Python, Matlab, Linux, Git, Neuroimaging, Neuroanatomy, Neuroscience, Brain Imaging Data Structure (BIDS), Neuroimaging Data Structures, Neuroimaging Data Processing, Medical Image Processing, Bash and Shell Scripting, Big Data, Dataset Quality Assessment, Data Science, Jupyter Notebooks, High Performance Computing (HPC), Data Visualization, Statistical Analysis, Advanced Statistical Analysis
Non-technical skills: Problem Scoping, Project Management, Multi-endeavor Balancing and Prioritization, Project Schedule Development and Coordination, Documentation, Science Communication, Manuscript Production, Manuscript Editing, Public Speaking, Presentation Development and Delivery, Research Methods, Research Design, Mentorship
Graduate Student Researcher Representative
at Indiana University Bloomington (Bloomington, IN),
Bloomington Faculty Council (BFC)

Domain: Academic Governance
Type: Leadership/Service, Policy
Dates: 8 / 2017 to 5 / 2021
Workload: ~ 1 hrs per week
Voting member of the Bloomington Faculty Council (BFC), representing graduate student researchers on all matters before the council, including campus-level policy, resolutions, and development planning. Engaged campus and university administrators on specific issues and standing ad hoc committees.
Non-technical skills: Advocacy, Constituency Engagement, Constituency Representation, Rapport Building, Institutional Advocacy, Institutional Engagement, University Policy, University Development Strategy, Public Speaking
Member, Research Affairs Committee (RAC)
at Indiana University Bloomington (Bloomington, IN),
Bloomington Faculty Council (BFC)

Domain: Academic Governance
Type: Leadership/Service, Policy
Dates: 8 / 2017 to 5 / 2021
Workload: ~ 1 hrs per week
Member of the BFC Research Affairs Committee, representing graduate student researchers on campus research-affairs issues — including COVID impacts, conflict-of-interest management, research disclosures, openaccess policy, and non-tenure-track researchers. Worked with the Office of Research Administration, the Office of the Vice Provost for Research, and other campus stakeholders.
Non-technical skills: Constituency Representation, Rapport Building, Institutional Advocacy, Institutional Engagement, Research Policy, Research Ethics, Research Staffing, Conflict of Interest Management, Institutional Research Policy, Open Access Policy
Member, Technology Policy Committee
at Indiana University Bloomington (Bloomington, IN),
Bloomington Faculty Council (BFC)

Domain: Academic Governance
Type: Leadership/Service, Policy
Dates: 8 / 2020 to 5 / 2021
Workload: ~ 1 hrs per week
Member of the BFC Technology Policy Committee, representing graduate student researchers on technology-implementation issues — including virtual conferencing, email and data platforms, and research-data storage and ownership.
Non-technical skills: Advocacy, Technology Policy Development, Research Data Policy, Institutional Engagement
Graduate Teaching Assistant
at Indiana University Bloomington (Bloomington, IN),
Department of Psychological and Brain Sciences

Domain: Psychology
Type: Teaching
Dates: 8 / 2017 to 5 / 2018, &
8 / 2020 to 5 / 2021
Workload: ~ 15 - 20 hrs per week
Graduate teaching assistant across four semesters for courses in research methods and statistics, cognitive neuroscience, and social neuroscience. Led discussion sections, held office hours, and supported grading and classroom management.
Non-technical skills: Performance Assessment, Classroom Management, Discussion Section Coordination, Individualized Instruction, Feedback Provision
Chair, Benefits committee
at Indiana University Bloomington (Bloomington, IN),
Indiana University Graduate and Professional Student Government

Domain: Academic Governance
Type: Leadership/Service, Policy
Dates: 8 / 2020 to 5 / 2021
Workload: ~ 1 - 2 hrs per week
Chair of the Benefits Committee in the IU Graduate & Professional Student Government (GPSG) and member of the GPSG executive committee, advocating for graduate and professional students on compensation, benefits, and professional issues. Managed a team of graduate student representatives and engaged university administrators — including the Dean of the University Graduate School — on policy development and specific concerns.
Non-technical skills: Leadership, Committee Management, Advocacy, Team Management, Human Resources and Benefits Policy, Stakeholder Engagement, Institutional Engagement
Summer Research Fellow
at University of Virginia (Charlottesville, VA),
Biocomplexity Institute, Data Science For Public Good

Supervised by Gizem Korkmaz() , Brandon Kramer() , Joel Thurston()
Domain: Data Science
Type: Development, Research
Dates: 6 / 2020 to 8 / 2020
Workload: 40 hrs per week
Summer Research Fellow in the Data Science for the Public Good (DSPG) program, serving as participant lead on two projects: ontology/taxonomy development for Army personnel performance assessments, and systematic valuation of open-source development processes. Produced code and qualitative/quantitative analyses, performed data curation and dataset linking, built visualizations, and managed interns. Presented insights to multiple audiences and led delivery under rapid-production timelines.
Technical skills: Software Development, Web Development, Data Science, Data Curation, Dataset Quality Assessment, Data Visualization, Python, Git, SQL
Non-technical skills: Presentation Development and Delivery, Project Management, Team Management, Mentorship, Report Development, Stakeholder Engagement, Problem Scoping
Neuroscience Representative
at Indiana University Bloomington (Bloomington, IN),
Graduate and Professional Student Government

Domain: Academic Governance
Type: Leadership/Service, Policy
Dates: 8 / 2017 to 5 / 2020
Workload: ~ 2 - 3 hrs per week
Elected representative for the Program in Neuroscience to the IU Graduate & Professional Student Government, helping shape and develop resolutions as an active member of the organization.
Non-technical skills: Representation, Resolution Development, Public Speaking, Robert's Rules of Order
Undergraduate Research Assistant
at North Carolina State University (Raleigh, NC),
Department of Biological Sciences

Supervised by John Godwin() , Ryan Wong()
Domain: Neurobiology and Behavior
Type: Research
Dates: 8 / 2012 to 5 / 2015
Workload: 10 hrs per week
Undergraduate researcher in the Godwin Lab studying stress and anxiety markers in the brain of a model species (zebrafish). Ran experiments, collected and analyzed data, prepared and processed biological samples, maintained subject stocks, and presented results. Contributed to grant development.
Technical skills: Behavioral Testing, Movement Tracking Analysis, Cryosectioning, Microscopy, In-situ Hybridization (ISH), DNA/RNA Extraction, Protocol Optimization, Movement Tracking Data Processing, Subject Monitoring and Maintenance
Non-technical skills: Grant Writing, Science Communication, Research Review, Article Summary and Discussion, Resource Monitoring and Management
Chief Editor, Undergraduate Research Journal
at North Carolina State University (Raleigh, NC),
Office of Undergraduate Research

Supervised by Chris Ashwell()
Domain: Academic Publishing
Type: Editorial, Leadership/Service
Dates: 8 / 2013 to 5 / 2015
Workload: ~ 1 - 2 hrs per week
Chief Editor of the NCSU undergraduate research journal, evaluating submissions and providing author feedback, and collaborating with faculty in support of the organization.
Non-technical skills: Research Article Review, Feedback Provision, Manuscript Revision
Undergraduate Teaching Assistant
at North Carolina State University (Raleigh, NC),
Genetics Program

Supervised by Ted Emigh()
Domain: Genetics
Type: Teaching
Dates: 8 / 2014 to 12 / 2014
Workload: ~ 3 - 5 hrs per week
Undergraduate teaching assistant for GN 311 (Principles of Genetics): led discussion sections, lectured and reviewed, held office hours, and graded assignments and tests.
Non-technical skills: Grading, Classroom Management, Discussion Section Coordination, Individualized Instruction
Vice President, Future Society Club
at North Carolina State University (Raleigh, NC),
Future Society Club

Domain: Technology and Society
Type: Leadership/Service
Dates: 8 / 2013 to 5 / 2015
Workload: ~ 1 hrs per week
As Vice President of the NCSU Future Society Club, I led meetings, scheduled and organized talks, and managed membership. Meeting topics included technology, science, society, and the interplay between these.
Non-technical skills: Leadership, Event Coordination, Membership Management, Discussion Facilitation, Organizational Continuity and Preservation
Summer Scholar
at Wake Forest University (Winston-Salem, NC),
Wake Forest Institute for Regenerative Medicine (WFIRM)

Supervised by John Jackson() , Sookwon Ryu()
Domain: Regenerative Medicine
Type: Research
Dates: 6 / 2013 to 8 / 2013
Workload: 40 hrs per week
SENS Research Foundation Summer Scholar at the Wake Forest Institute for Regenerative Medicine, characterizing and calibrating the process for producing functional thymic organoids for immune-system revitalization. Assisted with sample production, processing, and analysis, and presented project status and findings.
Technical skills: Tissue Extraction, Tissue Culture, Cell Culturing, Cryosectioning, Advanced Microscopy, Immunofluorescence, PCR, Gel Electrophoresis
Non-technical skills: Team Research, Team Science, Biomedical Industry Research and Development, Research Review, Report Development, Multi-stakeholder Reporting and Communication, Resource Monitoring and Management
Graduate Teaching Assistant
at University of Cincinnati (Cincinnati, OH),
Department of Philosophy

Domain: Philosophy
Type: Teaching
Dates: 8 / 2009 to 5 / 2011
Workload: ~ 10 - 20 hrs per week
Graduate teaching assistant for philosophy courses in ethics, introduction to philosophy, political philosophy, and classical philosophy. Led discussion sections, held office hours, and supported grading and classroom management.
Non-technical skills: Performance Assessment, Classroom Management, Discussion Section Coordination, Individualized Instruction, Feedback Provision
Psychology Instructor
at Duke University Talent Identification Program (Durham, NC),
Duke University Talent Identification Program

Domain: Psychology
Type: Teaching
Dates: 6 / 2010 to 8 / 2010, &
6 / 2011 to 8 / 2011
Workload: 40+ hrs per week
Instructor for an intensive introduction to psychology for academically gifted high-school students (Duke TIP), taught at a college-101 level across the standard first-year topic range. Designed the course and syllabus, delivered instruction, assessed performance, and reported progress.
Non-technical skills: Course Design, Syllabus Formation, Instruction, Performance Assessment, Progress Reporting, Classroom Management
Undergraduate Research Assistant
at University of North Carolina at Chapel Hill (Chapel Hill, NC),
Department of Psychology and Neuroscience

Supervised by Joseph Hopfinger() , Emily Parks()
Domain: Neuroimaging
Type: Research
Dates: 8 / 2007 to 5 / 2009
Workload: ~ 3 - 5 hrs per week
Undergraduate research assistant in the Hopfinger Lab studying memory and emotion effects on attentional control, using EEG and eye-tracking with the attentional-blink paradigm. Supported experimental design, subject recruitment, data collection, and data management under IRB protocols.
Technical skills: Experimental Design, Subject Recruitment, Behavioral Testing, EEG, Eye Tracking, Data Management, Data Science, Data Curation
Non-technical skills: Research Ethics, Science Communication, IRB Protocols
Psychology Teaching Assistant
at Duke University Talent Identification Program (Durham, NC),
Duke University Talent Identification Program

Domain: Psychology
Type: Teaching
Dates: 6 / 2009 to 8 / 2009
Workload: 40+ hrs per week
Teaching assistant for an intensive introductory psychology course for gifted high-school students (Duke TIP); led daily review sessions and supported grading and classroom management.
Non-technical skills: Grading, Classroom Management, Review session Leadership
Nanotechnology Teaching Assistant
at Duke University Talent Identification Program (Durham, NC),
Duke University Talent Identification Program

Domain: Nanotechnology
Type: Teaching
Dates: 6 / 2008 to 8 / 2008
Workload: 40+ hrs per week
Teaching assistant for an intensive nanotechnology course for gifted highschool students (Duke TIP); led daily review sessions and supported grading and classroom management.
Non-technical skills: Grading, Classroom Management, Review session Leadership
Pre-Baccalaureate Research Assistant
at North Carolina State University (Raleigh, NC),
Center for Integrated Fungal Research

Supervised by Tarek Joobeur()
Domain: Plant Pathology
Type: Research
Dates: 11 / 2004 to 5 / 2005
Workload: ~ 5 - 10 hrs per week
Pre-baccalaureate research assistant studying Fusarium wilt in melons, exploring genetic hallmarks of susceptibility and resilience. Trained in fieldand bench-based research processes; assisted with sample preparation and PCR/gel-electrophoresis workflows.
Technical skills: PCR, Gel Electrophoresis, Sample Preparation
Non-technical skills: Manuscript Development, Research Article Review

Publications

TitleDateVenueLinkCitation
A Reproducible Pipeline for Parcellation of the Anterior Limb of the Internal Capsule12-01
2024
Biological Psychiatry: Cognitive Neuroscience and NeuroimagingSretavan, K., Braun, H., Liu, Z., Bullock, D., Palnitkar, T., Patriat, R., Chandrasekaran, J., Brenny, S., Johnson, M. D., Widge, A. S., Harel, N., & Heilbronner, S. R. (2024). A Reproducible Pipeline for Parcellation of the Anterior Limb of the Internal Capsule. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 9(12), 1249-1261. https://doi.org/10.1016/j.bpsc.2024.07.008
brainlife.io: A decentralized and open source cloud platform to support neuroscience research06-03
2023
arXivHayashi, S., Caron, B. A., Heinsfeld, A. S., Vinci-Booher, S., McPherson, B., Bullock, D. N., ... & Pestilli, F. (2023). brainlife. io: A decentralized and open source cloud platform to support neuroscience research. ArXiv.Current Research in Neurobiology, revision under review, https://doi.org/10.48550/arXiv.2306.02183
The use of chemogenetic actuator ligands in nonhuman primate DREADDs-fMRI12-30
2022
Current Research in NeurobiologyAdriana K. Cushnie, Daniel N. Bullock, Ana M. G. Manea, Wei Tang, Jan Zimmermann, Sarah R.Heilbronner, The use of chemogenetic actuator ligands in nonhuman primate DREADDs-fMRI, Current Research in Neurobiology, in press, https://doi.org/10.1016/j.crneur.2022.100072
Development of white matter tracts between and within the dorsal and ventral streams03-10
2022
Brain Structure and FunctionVinci-Booher, S., Caron, B., Bullock, D., James, K., & Pestilli, F. (2022). Development of white matter tracts between and within the dorsal and ventral streams. Brain Structure and Function, 227(4), 1457-1477.
A taxonomy of the brain’s white matter: twenty-one major tracts for the 21st century02-15
2022
Cerebral CortexDaniel N Bullock, Elena A Hayday, Mark D Grier, Wei Tang, Franco Pestilli, Sarah R Heilbronner, A taxonomy of the brain’s white matter: twenty-one major tracts for the 21st century, Cerebral Cortex, Volume 32, Issue 20, 15 October 2022, Pages 4524–4548, https://doi.org/10.1093/cercor/bhab500
Visual information routes in the posterior dorsal and ventral face network studied with intracranial neurophysiology and white matter tract endpoints01-15
2022
Cerebral CortexBabo-Rebelo, M., Puce, A., Bullock, D., Hugueville, L., Pestilli, F., Adam, C., ... & George, N. (2022). Visual information routes in the posterior dorsal and ventral face network studied with intracranial neurophysiology and white matter tract endpoints. Cerebral Cortex, 32(2), 342-366.
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?10-22
2021
NeuroImageSchilling, K. G., Rheault, F., Petit, L., Hansen, C. B., Nath, V., Yeh, F. C., ... & Descoteaux, M. (2021). Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?. NeuroImage, 243, 118502.
A model of the development of major white matter pathways within and between ventral and dorsal visual streams09-27
2021
Journal of VisionVinci-Booher, S., Caron, B., Bullock, D., James, K., & Pestilli, F. (2021). A model of the development of major white matter pathways within and between ventral and dorsal visual streams. Journal of Vision, 21(9), 2698-2698.
Computational Segmentation of White Matter Anatomy: Methods, Insights, and Standards06-01
2021
Indiana University ProQuest Dissertations PublishingBullock, D. (2021). Computational Segmentation of White Matter Anatomy: Methods, Insights, and Standards.
Collegiate athlete brain data for white matter mapping and network neuroscience02-11
2021
Scientific DataCaron, B., Stuck, R., McPherson, B. et al. Collegiate athlete brain data for white matter mapping and network neuroscience. Sci Data 8, 56 (2021). https://doi.org/10.1038/s41597-021-00823-z
The human endogenous attentional control network includes a ventro-temporal cortical node01-15
2021
Nature CommunicationsSani, I., Stemmann, H., Caron, B., Bullock, D., Stemmler, T., Fahle, M., ... & Freiwald, W. A. (2021). The human endogenous attentional control network includes a ventro-temporal cortical node. Nature communications, 12(1), 1-16.
Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation01-01
2021
NeuroImageBertò, G., Bullock, D., Astolfi, P., Hayashi, S., Zigiotto, L., Annicchiarico, L., ... & Olivetti, E. (2021). Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. NeuroImage, 224, 117402.
Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations10-13
2020
Scientific reportsChandio, B. Q., Risacher, S. L., Pestilli, F., Bullock, D., Yeh, F. C., Koudoro, S., ... & Garyfallidis, E. (2020). Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations. Scientific reports, 10(1), 1-18.
Advanced mapping of the human white matter microstructure better separates elite sports participation08-25
2020
PsyArXivCaron, B., Bullock, D., Kitchell, L., McPherson, B. C., Kellar, D. A., Cheng, H., ... & Pestilli, F. (2020). Advanced mapping of the human white matter microstructure better separates elite sports participation. PsyArXiv.
Associative white matter connecting the dorsal and ventral posterior human cortex07-24
2019
Brain Structure and FunctionBullock, D., Takemura, H., Caiafa, C.F. et al. Associative white matter connecting the dorsal and ventral posterior human cortex. Brain Struct Funct 224, 2631–2660 (2019). https://doi.org/10.1007/s00429-019-01907-8
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services05-23
2019
Scientific dataAvesani, P., McPherson, B., Hayashi, S., Caiafa, C. F., Henschel, R., Garyfallidis, E., ... & Pestilli, F. (2019). The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Scientific data, 6(1), 1-13.
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation04-08
2019
2019 IEEE 16th International Symposium on Biomedical ImagingBertò, G., Avesani, P., Pestilli, F., Bullock, D., Caron, B., & Olivetti, E. (2019, April). Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) (pp. 135-138). IEEE.
Shape analysis of white matter tracts via the Laplace-Beltrami spectrum09-20
2018
International Workshop on Shape in Medical ImagingKitchell, L., Bullock, D., Hayashi, S., & Pestilli, F. (2018, September). Shape analysis of white matter tracts via the Laplace-Beltrami spectrum. In International Workshop on Shape in Medical Imaging (pp. 195-206). Springer, Cham.
Oryza sativa (japonica cultivar-group) clone dan18 putative D-type cyclin gene, partial cds.06-18
2004
NIH NCBI GenBankN/A

Presentations and Posters

TitleYearVenueTypeAuthors
TRX: A community-oriented tractography file format2022Organization for Human Brain MappingPresentationFrancois Rheault, Valérie Hayot-Sassonb, Robert E. Smith, Christopher Rordend, Jacques-Donald Tourniere, Eleftherios Garyfallidis, Fang-Cheng Yehh, Christopher J. Markiewicz, Matthew Brett, Ben Jeurissenk, Paul A. Taylor, D. Baran Aydogan, Derek A. Pisner, Serge Koudorof, Soichi Hayashi, Daniel Haehn, Steve Pieper, Daniel Bullock, Emanuele Olivetti, Jean-Christophe Houde, Marc-Alexandre Côté, Flavio Dell’Acqua, Alexander Leemansy, Maxime Descoteaux, Bennett Landman, Franco Pestilli, Ariel Rokem
The relationship between the microstructure of vertical white matter pathways and behavior in early elementary school children2019Cognitive Development Society Biennial ConferencePresentationSophia Vinci-Booher, Daniel Bullock, Bradley Caron, Brent McPherson, Karen H. James, Franco Pestilli
Making network neuroscience more findable, accessible, interoperable, and reusable via brainlife.io2019Organization for Human Brain MappingPosterBrent McPherson, Daniel Bullock, Bradley Caron, Lindsey Kitchell, Soichi Hayashi, Josh Faskowitz, Olaf Sporns, Richard Betzel, Paolo Avesani, Franco Pestilli
Orchestrating Cloud Networks for Discoverable, Accessible, Interoperable, and Reusable Neuroscience2019Organization for Human Brain MappingPosterSoichi Hayashi, Lindsey Kitchell, Brent McPherson, Bradley Caron, Daniel Bullock, Paolo Avesani, Robert Henschel, Eleftherios Garyfallidis, Lei Wang, Ivo Dinov, Franco Pestilli
Segmentation of White Matter Bundles as Anatomically-Informed Multiple Linear Assignment Problems2019Organization for Human Brain MappingPosterGiulia Bertó, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti
Microstructural Differences in Both the White- and Gray-matter Tissue Distinguish Athletes Groups2019Organization for Human Brain MappingPosterBradley Caron, Lindsey Kitchell, Brent McPherson, Daniel Bullock, Soichi Hayashi, Derek Keller, Hu Cheng, Sharlene Newman, Nicholas Port, Franco Pestilli
White Matter Mapping on brainlife.io: A Findable, Accessible, Interoperable, Reusable Implementation2019Organization for Human Brain MappingPosterDaniel Bullock, Soichi Hayashi, Lindsey Kitchell, Brent McPherson, Bradley Caron, Franco Pestilli
Advanced White Matter Mapping in the Subconcussive Brain2018AAN Sports Concussion Conference, Big Ten-Ivy League TBI Research Consortium SummitPosterBradley Caron, Derek Keller, Lindsey Kitchell, Brent McPherson, Daniel Bullock, Soichi Hayashi, Hu Cheng, Sharlene Newman, Nicholas Port, Franco Pestilli
White Matter Tracts as Classification Features for Machine Learning2018Midwest Cognitive Science ConferencePosterLindsey Kitchell, Daniel Bullock, Soichi Hayashis, Franco Pestilli
Clarifying the anatomical organization and cortical projections of multiple major white matter tracts associating the human temporal and parietal lobes2018Society for NeurosciencePosterDaniel Bullock, Hiromasa Takemura, Cesar F. Caiafa, Lindsey Kitchell, Brent McPherson, Bradley Caron, Franco Pestilli
Shape Analysis of White Matter Tracts via the Laplace-Beltrami Spectrum2018Shape in Medical Imaging Workshop at MICCAIPosterLindsey Kitchell, Daniel Bullock, Soichi Hayashi, Franco Pestilli
Multidimensional Encoding of Structural Brain Connectomes: Building Quantitative Biological Networks with Preserved Edge Properties to Study the Visual White Matter and Brain Aging2017Network Science, Society for NeurosciencePresentationFranco Pestilli, Brent McPherson, Daniel Bullock, Andrea Avena-Koenigsberger, Joey Contreras, Cesar Caiafa, Olaf Sporns, Andrew Saykin
Evidence for a Direct White Matter Tract Between Human Parietal and Inferotemporal Cortex2016Association for Psychological SciencePosterDaniel Bullock, Julian Moehlen, Brent McPherson, Cesar Caiafa, Hiromasa Takemura, Franco Pestilli
The Posterior Associative White Matter Network Connecting Temporal and Parietal Human Brain Lobes2016Society for NeurosciencePosterDaniel Bullock, Hiromasa Takemura, Cesar F. Caiafa, Franco Pestilli
Localization of Differential Neuron Activity in Zebrafish with Distinct Stress Dispositions using c-fos Activity2014State of North Carolina Undergraduate Research and Creativity Symposium, NC State Summer Undergraduate Research Symposium, NCSU Spring Biology Capstone SymposiumPosterDaniel Bullock, Ryan Wong, John Godwin
Towards Engineered Thymic Tissue2013Wake Forest Institute for Regenerative Medicine Research DayPoster and PresentationDaniel Bullock, Sookwon Ryu, Ashis Mondal, James Yoo, John Jackson

Awards, Fellowships and Grants

Title and SourceTypeDurationLink
AAAS Science and Technology Policy Fellow
at National Science Foundation (NSF) via Association For the Advancement of Science (AAAS)
Fellowship 8 / 2022 to 8 / 2024
Neuroimaging NIH Postdoctoral Training Fellowship (T32)
at University of Minnesota via National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Fellowship 1 / 2022 to 8 / 2022
Data Science for the Public Good (DSPG) Young Scholars program
at University of Virginia Biocomplexity Institute via Data Science for the Public Good (DSPG)
Fellowship 6 / 2020 to 8 / 2020
Clinical Translational NIMH Predoctoral Training Fellowship (T32)
at Indiana University Bloomington, Department of Psychological and Brain Sciences, Clinical Science Program via National Institute of Mental Health (NIMH)
Fellowship 8 / 2018 to 5 / 2020
UW eScience Institute Neurohackacademy Summer Scholar
at University of Washington eScience Institute via NeuroHackAcademy
Fellowship 8 / 2019 to 9 / 2019
Center for Information and Neural Networks (CiNet) Training Fellowship
at Center for Information and Neural Networks (CiNet) via National Institute of Information and Communications Technology (NICT)
Fellowship 12 / 2016 to 1 / 2017
Psychological and Brain Sciences departmental fellowship
at Indiana University Bloomington via Department of Psychological and Brain Sciences
Fellowship 8 / 2015 to 5 / 2017
SENS Research Foundation Summer Scholar
at Wake Forest Institute for Regenerative Medicine via Sens Research Foundation
Fellowship 6 / 2013 to 8 / 2013
Wake Forest Institute for Regenerative Medicine Summer Scholar
at Wake Forest University School of Medicine via Wake Forest Institute for Regenerative Medicine
Fellowship 6 / 2013 to 8 / 2013
NCSU Undergraduate Research Grant
at North Carolina State University via Office of Undergraduate Research
Grant 1 / 2013 to 6 / 2013, &
1 / 2014 to 6 / 2014