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, R

Tools/Technologies: AWS, JupyterHub, Docker, git, environment management (e.g. conda), Databricks, Apache (e.g. Spark, Airflow)

Methodology specialties: natural language processing, deep learning neural networks (e.g. LSTMs, CNNs), supervised and unsupervised machine learning

Data specialties: electronic health records (EHR), medical claims, unstructured text data, image data

work experience

2024 - Present

2023-2024 (Machine Learning Engineer)

2022 (Summer Intern)

SENIOR MACHINE LEARNING ENGINEER: Flatiron Health

  • Lead end-to-end natural language processing and machine learning-derived data products for pharmaceutical stakeholders to drive innovation in the oncology healthcare ecosystem

2018 – 2021

DATA SCIENTIST, HEALTHCARE POLICY: Mathematica (formerly Mathematica Policy Research)

  • 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

2017 – 2018

DATA SCIENCE TEACHING ASSISTANT: Yale Department of Statistics and Data Science

  • Served in supplemental teaching roles for two graduate-level courses covering statistical inference and data visualization

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. mathematica.org/publications/untreated-maternal-mental-health-conditions-in-texas-costs-to-society-and-to-medicaid

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. doi: 10.1097/QAI.0000000000002546.

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. doi: 10.1097/QAI.0000000000002547.

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 in the United States of America, 113(12), 3221-3226. doi: 10.1073/pnas.1601773113.

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: Findings from the Fiscal Year 2018 Health Care Survey of DoD Beneficiaries. 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.