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Bachelors of Science

Stanford University

• Research Assistant, Stanford Intelligent Systems Lab.
• Research Assistant, Changing Cities Research Lab.
• Teaching Assistant, Computer Science (CS 41) (past).
• Data and Mapping Society (past).
• ASES Breakthrough Organizer (past).

Research Assistant, Aeronautics and Astronautics Department

Stanford Intelligent Systems Laboratory (SISL)

• Architecting framework utilizing latent diffusion embeddings to generate new out-of-dist. datasets
• Programming stable diffusion models to generate driving sensor data across U.S. cities
• Leading application of generative AI and deep reinforcement learning (RL) to improve AV decisions in complex traffic scenarios, promoting AI safety in autonomous decision making under uncertainty
• Co-authoring two papers with Honda Research Inst., PI Mykel Kochenderfer for publication in ICML

Research Assistant, Sociology Department

Stanford Changing Cities Research Lab (CCRL)

• Developed computer vision (CV) models (RNN, multi-task, ensembles, etc.) to parse Google Street View images to understand the role of physical conditions in structuring inequality and gentrification
• Programming regression and classification CV models to evaluate live videos of streets across U.S.A.
• Co-authoring paper with team, PI Jackelyn Hwang for publication in Annual Review of Sociology

Product Management Intern – AI Team

Relativity, Text-IQ

• Conducted market sizing & competitive analysis for self–proposed product, secured leadership support
• Roadmapped 18-month product, engineering, and client-engagement timelines for proposed product
• Prototyped NLP clustering pipeline (able to rapidly cluster terabytes of documents for M&A due diligence and litigation events) and product UI, set to save millions of dollars (est.) in operational costs
• Utilized AutoML to reduce project costs by 20% and time by 40% (est.), interfacing with eng. team
• Secured prospects (e.g., JP Morgan, AstraZeneca, Intel, Bayer, etc.) to stress-test MVP via paid pilot

Data Science Intern

White Whale Analytics

• Programmed scalable steam-optimization algorithms for energy clients, resulting in est. 30% savings
• Engineered customer journey optimization algorithms for hospitality providers, incr. sales by ~25%
• Developed network graph, anomaly-detection, and ML solutions for diverse Canadian clients
• Secured multiple long-term energy and hospitality contracts and maintained strong client relationships
• Designed intuitive dashboards for AI model explainability and gathered client trust in technology

Genomics and Bioinformatics Intern

University of Calgary

• Identified specific genes to make targeted melanoma immunotherapy more accessible to public
• Developed ML clustering technologies for single cell RNA, Next Generation Sequencing, & Differential Gene Expressions to determine hot tumor zones

• TreeHacks, Winner; VMWare Award

• Regeneron ISEF, Team Canada

• CWSF, Grand-Award Winner
• Sanofi Biogenius, National Finalist
• CWSF University Entrance Scholarships, Ted Rogers Innovation, YouthCanInnovate Awards
• Dr. Werner Becker Clinical Neuroscience Award