As a Science and Engineering Technical Advisor (SETA) I serve as the primary expert overseeing a collection of ARPA-H projects with a total annual budget of more than $18 million and a total project-lifetime budget of more than $80 million. In addition to this, I serve as secondary SETA on projects with a total annual budget of more than $23 million and a total project-lifetime budget of more than $125 million. I provide technical guidance and oversight to project teams and ARPA-H personnel, regularly interface with internal and external stakeholders, track project milestone progress, and review incoming proposals. I also help scope and design new projects. I developed the initial structure and vision for the ARPA-H Systematic Targeting Of MicroPlastics (STOMP) program. I served as the primary architect of the former Imaging Data Exchange (INDEX) program’s major technical requirements (TA 2).

As an AAAS STPF Fellow placed in the Office of Advanced Cyberinfrastructure (OAC) I have engaged in a wide range of endeavors supporting the mission of the OAC. These include assisting with the Pathways to Open Source Ecosystem (POSE) (e.g., panels, revising program description, triage), several ongoing endeavors supporting NSF Public access efforts, and internal reviews. My interagency work includes assisting with the OSTP’s Subcommittee on Open Science’s (SOS) Open Science Infrastructure (OSI) Working Group, where I performed an analysis using openly accessible data from federal agencies and incorporated these results into a report on current agency investments in Open Science Infrastructure. I also serve as a member of the NSF team coordinating and organizing the multi-agency National AI Research Resource (NAIRR) Pilot program, in particular assisting with the development of practices and policies related to data.

As a postdoctoral researcher I produced automated segmentation methods for the brain’s major white matter tracts in tractography using cross-species and literature-based information. These tools allowed for the cross-referencing of ‘ground truth’ studies of non-human primate brain connectivity anatomy with imaging based studies of human brain connectivity anatomy, and have also served as anatomy models used in the development of deep brain stimulation (DBS) techniques and technologies. This also entailed the visualization of tractography and segmentation results, as well as the quantification of tract properties. To ensure the replicability and stability of these products I developed, documented, and maintained several code repositories.

As an application developer for the brainlife platform, I was responsible for the production and maintenance of containerized brain-data processing applications, enabling drastically simplified use of advanced processing and analysis techniques. This entailed the creation of novel data processing and visualization code, as well as adaptation of existing resources. I also engaged in testing, monitoring, and feedback on service deployment and coordination. I also led the scoping, creation, coordination, and maintenance of specific data formats/standards.

As a graduate student researcher I developed and implemented automated segmentation methods for major white matter tracts in tractography, enabling personalized models of brain anatomy and connectivity. This also entailed the visualization of tractography and segmentation results, as well as the quantification of tract properties and development of tractography quality assurance methods. This work required a deep review of contemporary and historical neuroanatomy literature.