Experience

• Apple, Health Sensing

  Software Engineer Intern, Summer 2025

  Automated a multi-stage 3D scanning pipeline in Python — covering alignment, contact extraction, and visualization — reducing processing time by an order of magnitude and eliminating manual steps. Standardized SOPs for both data processing and user studies, increasing data yield and ensuring reproducible anthropometric measurements. Developed preliminary contact-quality metrics that enabled early quantitative analysis and informed new feature development for next-generation health sensing technologies.

• Stanford Artificial Intelligence Laboratory, AI-Assisted Care

  Research Assistant, 2024 – Present

  Collaborating with the Partnership in AI-Assisted Care (PAC) group under Dr. Narayan Schutz, Prof. Fei-Fei Li, and Prof. Ehsan Adeli to develop multi-view pose estimation and deep learning models for activity recognition and clinical applications in older adults.

• Stanford Existential Risks Initiative, AI Governance

  AI Governance Researcher, Summer 2025

  Conducted an independent research project on frontier AI governance focused on monitoring indicators of existential risk, institutional design for cross-lab oversight, and pathways from voluntary norms to enforceable regulation. Developed a structured taxonomy of technical risk indicators and analyzed governance analogues from nuclear, biosecurity, and finance to propose scalable, multi-stakeholder oversight mechanisms for advanced AI systems.

• Hoover Institution, Future of Work

  Student Fellow, 2024 – 2025

  Conducted private sector outreach, organized a summit, performed employment data analysis, helped design chatbot interventions, and co-authored a report for the Hoover Institution's Future of Work for Women Initiative to identify scalable solutions for increasing female labor force participation in India with Dr. Suhani Jalota.

• Stanford International Genetically Engineered Machine (iGEM), Synthetic Biology

  Undergraduate Researcher, Summer 2024

  Built a predictive gene expression model and disease progression simulator for FSHD using Poisson-Beta regression, physics-inspired neural networks, and ODE/Markov chain comparisons in collaboration with Stanford Medicine. Won nominations for Best Therapeutic, Best Education, and Best Human Outreach in the Paris iGEM 2024 Grand Jamboree.

• The Ohio State University Bioinformatics & Mathematical Biosciences Lab, Bioinformatics

  Research Assistant, Summer 2023

  Applied computer vision and deep learning techniques to identify tissue modules in biomedical imaging data, enhancing precision in understanding biomedical data with Dr. Jordan Krull.

• The Ohio State University Department of Political Science, Political Science

  Research Assistant, 2023

  Contributed to political science research by analyzing tweets from political figures and groups in the United States and coding them by sentiment for analysis with Dr. Melinda Ritchie.