Sam Gussman-Toh
Lead Program Specialist @Advanced Research Projects Agency for Health (ARPA-H)
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WORK HISTORY
Lead Program Specialist @Advanced Research Projects Agency for Health (ARPA-H)
WA, US
Lead ARPA-H’s small business program (+$49M annual R&D budget) where I oversee program execution. Scope includes the development and prioritization of R&D topics, proposal review, contracting, advertising opportunities, budget management, oversight of >30 funded companies, and regulatory/commercialization support.• Partner with ARPA-H’s program managers to create commercialization/transition strategy and deliver regulatory and commercialization support to ARPA-H’s R&D programs.• Ecosystem development, including facilitation of autonomous robotics workshops, large-scale campaigns to engage stakeholders, requests for information, ecosystem events, conference attendance, etc.• Design and coordination of regulatory science R&D efforts with partners at FDA / DIDSR to develop enabling tools that complement ARPA-H’s emerging AI technologies with parallel advancements in regulatory science.• Represent the agency with government partners, Congressional stakeholders, workshops, and industry events.• Contracting Officer Representative (COR) Certification Level 2; allows management of contracts ≤$50M.
EDUCATION
Stanford University
Bachelor's Degree, Symbolic Systems
Warhill High School
Diploma
Georgia Institute of Technology
Master of Science - MS, Computer Science
ABOUT SAM GUSSMAN-TOH
I use my technical background and a systems approach to design end-to-end innovation programs. I’m serving as the Lead Program Specialist at ARPA-H’s commercialization office where I co-run the ARPA-H Small Business Program and design/implement programs to eliminate the barriers that prevent ground breaking research from becoming life-changing products. Prior work in the DoD managing rapid prototyping programs to deliver Horizon-3 capabilities and to modernize the DoD\'s logistics and supply chain. Outside of work, I am pursuing a graduate degree and doing regulatory science research with partners at the FDA. My research is focused on developing effective, least-burdensome standalone testing methods for AI software as a medical devices (SaMDs). I am specifically focused on realtime video applications doing autonomous detection and diagnostics, and using the standalone testing for colonoscopy CADe as a foundation to develop extensible testing frameworks.
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