EXPERIENCE
Staff Tech Lead Manager, Machine Learning
Establish strategic direction for LLM-derived data products while shaping technical vision for ML team
Develop company-wide large language model capabilities and tooling, enabling faster data product development for dozens of cross-functional users
Lead end-to-end natural language processing and machine learning-derived data products for pharmaceutical stakeholders to drive innovation in the oncology healthcare ecosystem
2026 – Present (Staff Tech Lead Manager)
2025 – 2026 (Tech Lead Manager)
2024 – 2025 (Senior ML Engineer)
2023 – 2024 (ML Engineer)
2022 (Summer Intern)
Data Scientist, Healthcare Policy
2018 – 2021
Developed and implemented machine learning and statistical solutions to address policy questions for clients at the U.S. Department of Health and Human Services, Department of Defense, as well as international and state-level stakeholders
Data Science Teaching Assistant
Yale Department of Statistics and Data Science
2017 – 2018
Served in supplemental teaching roles for two graduate-level courses covering statistical inference and data visualization
EDUCATION
Harvard University
2021 – 2023
M.S. Health Data Science
Selected coursework: Computing for Big Data, Systems Development for Computational Science, Collaborative Data Science in Medicine, Economic Analysis
Massachusetts Institute of Technology
2021 – 2023
Cross-registered graduate student
Selected coursework: ML Algorithms and Applications, Advanced Natural Language Processing, Advances in Computer Vision, Strategic Decision Making in the Life Sciences
Yale University
2013 – 2018. Cum laude.
B.A. Statistics and Data Science; B.A. Sociology
Selected coursework: Data Mining and Machine Learning, Computational Tools for Data Science, Probability Theory, Social Network Analysis
SKILLS
Languages
Python, SQL
Methodology Specialties
Large language models, natural language processing, deep learning neural networks, supervised and unsupervised machine learning
Data Specialties
Electronic health records (EHR), medical claims, unstructured text data, image data
PUBLICATIONS
Margiotta, C., Gao, J. S., Vohra, D., O'Neil, S., Zivin, K. (2021). Untreated Maternal Mental Health Conditions in Texas: Costs to Society and to Medicaid. Mathematica.
Goyal, R., Hu, C., Klein, P. W., Hotchkiss, J., Morris, E., Mandsager, P., Cohen, S. M., Luca, D., Gao, J. S., Jones, A., Addison, W., O'Brien-Strain, M., Cheever, L. W., & Gilman, B. (2021). Development of a Mathematical Model to Estimate the Cost-Effectiveness of HRSA's Ryan White HIV/AIDS Program. Journal of acquired immune deficiency syndromes, 86(2), 164–173.
Goyal, R., Luca, D., Klein, P. W., Morris, E., Mandsager, P., Cohen, S. M., Hu, C., Hotchkiss, J., Gao, J. S., Jones, A., Addison, W., O'Brien-Strain, M., Cheever, L. W., & Gilman, B. (2021). Cost-Effectiveness of HRSA's Ryan White HIV/AIDS Program. Journal of acquired immune deficiency syndromes, 86(2), 174–181.
Lee, N., Yario, T. A., Gao, J. S., & Steitz, J. A. (2016). EBV noncoding RNA EBER2 interacts with host RNA-binding proteins to regulate viral gene expression. Proceedings of the National Academy of Sciences, 113(12), 3221-3226.
SELECTED REPORTS
Gao, J. S., White, A., Goyal, R., Killewald, P. Haven, & J., Weinstock, J. (2021). Impact of COVID-19 on the Comprehensive Care for Joint Replacement Bundled Payment Model. Report submitted to the U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services.
White, A., Gao, J. S., Goyal, R., Killewald, P. Haven, & J., Weinstock, J. (2019). Exploring Readmission Rates for Patients Living in Disadvantaged Neighborhoods. Report submitted to the U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services.
Gao, J. S., Gehrke, A., & Clusen, N. (2019). Access to Health Care Among Pregnant Women. Chapter in HCSDB Annual Report. Report submitted to the U.S. Department of Defense, Defense Health Agency.
White, A., Gao, J. S., Goyal, R., Haven, J., Killewald, P., & Weinstock, J. (2019). Delaying care: Exploration of post-episode spending at Comprehensive Care for Joint Replacement Model hospitals. Report submitted to the U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services.
Haven, J., White, A., Gao, J. S., Goyal, R., Killewald, P., Bohl, A., Ward, E., Hanley, C., Schoenfeldt, S., & Weinstock, J. (2018). Exploring home discharges among high complexity patients in the Comprehensive Care for Joint Replacement Model. Report submitted to the U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services.