CV
Education
MDExpected 2028
Stanford University School of MedicineStanford, CA
MD/PhD program
PhD in Cancer BiologyConferred
Stanford University School of MedicineStanford, CA
Advisors: Kara L. Davis, DO & Garry P. Nolan, PhD
Focus: machine learning applied to single-cell data in pediatric leukemia
Focus: machine learning applied to single-cell data in pediatric leukemia
MS in Biomedical Data ScienceConferred
Stanford University School of MedicineStanford, CA
Thesis readers: Robert Tibshirani, PhD & Trevor Hastie, PhD
BA in Psychology and NeuroscienceConferred
Princeton UniversityPrinceton, NJ
Summa cum laude
Concentrations in Neurobiology and Quantitative/Computational Neuroscience
Phi Beta Kappa
Concentrations in Neurobiology and Quantitative/Computational Neuroscience
Phi Beta Kappa
Year AbroadCompleted
St Edmund Hall - University of OxfordOxford, UK
Concentrations: Biochemistry, Experimental Psychology
Experience
Senior Data ScientistCurrent
Stanford Health Care - Technology & Digital SolutionsStanford, CA
Clinical AI platform (ChatEHR)
LLM-powered automations for clinical workflows
Continuous monitoring of deployed AI systems
LLM-powered automations for clinical workflows
Continuous monitoring of deployed AI systems
Data Science Mentor (Contract)Current
Posit, PBCRemote
Mentor for Posit Academy cohorts learning R and Python
Graduate Research AssistantFormer
Davis and Nolan Laboratories, Stanford University School of MedicineStanford, CA
PhD research in computational cancer biology
Machine learning on single-cell data in pediatric leukemia
Developed several R/Python packages for single-cell data analysis
Machine learning on single-cell data in pediatric leukemia
Developed several R/Python packages for single-cell data analysis
Data Scientist & Founding MemberFormer
Medical Student Pride Alliance (MSPA)Remote
Data analysis and visualization for strategic decision-making
Mentored student analysts in Python and R
Mentored student analysts in Python and R
Laboratory TechnicianFormer
Kipnis Laboratory, University of VirginiaCharlottesville, VA
Contributed to the novel characterization of meningeal lymphatic vessels in the mouse and human CNS
Led 3D computational modeling of meningeal lymphatics
Led 3D computational modeling of meningeal lymphatics
Undergraduate Research AssistantFormer
Gould Laboratory, Princeton UniversityPrinceton, NJ
Investigated effects of physical activity and norepinephrine signaling on astrocyte and microglial morphology in the adult rat hippocampus
Selected Publications
Awards & Honors
Integrated Strategic Plan Star Award (ChatEHR Team)Stanford Medicine2025
Recognized the ChatEHR team for building Stanford Health Care’s clinical AI platform, enabling LLM-powered workflows for over 1,000 clinicians
Health Catalyst Ignite AwardHealth Catalyst (with Stanford Hospital Quality)2025
Awarded for innovative use of data and analytics to improve hospital quality outcomes at Stanford Health Care
Point Graduate Student ScholarshipPoint Foundation2020
Awarded to LGBTQ-identifying graduate students for distinction in leadership, scholarship, and activism
Ruth L. Kirschstein Pre-doctoral NRSA (F31)National Institutes of Health2019
NIH predoctoral fellowship providing supervised research training in cancer biology and computational methods
Community Impact AwardStanford University2019
Recognized for founding the Medical Student Pride Alliance and organizing Stanford Medicine’s first LGBTQ+ Forum
Integrated Strategic Plan Star AwardStanford Medicine2019
Recognized for leading the creation of the Stanford Medicine LGBTQ+ Forum and diversity initiatives
LGBT Workforce Junior Leadership AwardBuilding the Next Generation of Academic Physicians (BNGAP)2019
Recognizes a health-related graduate school trainee who has led activities promoting LGBTQ+ health workforce development
Award for Excellence in Promotion of Diversity and Societal CitizenshipStanford University School of Medicine2018
Recognized for leading LGBTQ+ advocacy efforts including founding LGBTQ-Meds leadership and the Stanford Medicine LGBTQ+ Forum
Award for Academic ExcellencePrinceton Neuroscience Institute2014
Awarded to the graduating senior with the highest academic standing in the Princeton Neuroscience Institute
Phi Beta KappaPrinceton University2013
Inducted for academic standing within the highest 1% of Princeton’s graduating class
Howard Crosby Warren Junior and Senior Prizes in PsychologyPrinceton University2013 & 2014
Awarded for outstanding academic performance and independent research in psychology and neuroscience
Shapiro Prize for Academic ExcellencePrinceton University2011 & 2012
Awarded to students in the top academic tier during freshman and sophomore years at Princeton
Media & Press
Featured Article — Microsoft Source (2025)
Featured Article — The New Stack (2025)
Keynote Feature — Microsoft Build 2025 (2025)
Featured Interview — Associated Press, New York Times, Washington Post (2020)
Featured Bio — The Advocate (2020)
Blog Post — Stanford Medicine Scope Blog (2020)
Blog Post — Stanford Medicine Scope Blog (2020)
Blog Post — Stanford Medicine Scope Blog (2019)
Blog Post — Stanford Medicine Scope Blog (2019)
Skills
Clinical AI & LLM Systems: EHR-integrated AI applications, agentic and multi-agent workflow design, LLM evaluation, retrieval-augmented generation (RAG), clinical summarization, post-deployment monitoring
Machine Learning & Statistics: supervised learning, calibration, bootstrap inference, survival analysis, class imbalance adjustment, clustering, gradient boosting, deep learning, tabular foundation models (tabPFN)
Healthcare Data & Governance: Epic EHR data, FHIR, clinical workflow integration, AI governance, model lifecycle management, clinical operations analytics, human-in-the-loop workflow design
Programming & Data Science: Python, R, SQL, Bash, pandas, scikit-learn, XGBoost, PyTorch, tidyverse, tidymodels, Bioconductor, Shiny
Platforms & Tools: Databricks, Azure OpenAI, LiteLLM, FastAPI, Pydantic, Git, Docker, Epic, MCP, Quarto
Biomedical Domains: clinical machine learning, LLMs in health care, single-cell analysis, mass cytometry, computational cancer biology, pediatric leukemia