Stanford University / MS Computer Science
Artificial Intelligence Track
Stanford University / BS Mathematical and Computational Science
Interdisciplinary major including Mathematics, Computer Science, Statistics and Management Science and Engineering
Harvard Business School / Big Data For Social Good, 2022, Online Course Stanford Graduate School of Business / Paths to Power, 2022, Online Course
Skills
Deep Learning, NLP, transformer models, text mining, NER, language models, ML for biomedicine/health Tools: pytorch, transformers, Huggingface, python, scipy, numpy, pandas, sklearn
Work Experience (selected work)
Chan Zuckerberg Initiative Foundation / Staff Research Scientist, June 2019 - PRESENT, Redwood City, CA
Lead author on rbio, a reasoning model for biology that uses world models as soft verifiers — learning from simulations rather than new wet-lab data. Demonstrates strong performance on perturbation prediction (PerturbQA) and shows how compositions of verifiers can yield more general models.
Lead author on scGenePT, a foundation model for single-cell perturbation prediction integrating gene expression and language modalities; enabled large-scale simulation-based discovery.
Led and mentored research interns and academic collaborators; coordinated benchmarking and model evaluation efforts across teams.
Built an NER model to extract mentions of experimental methods and datasets from full-text Biomedical Research Papers. Collaborated with Engineering to bring the model to production in a biomedical research discovery tool.
Built an NER model to extract mentions of genes, diseases and chemicals from full-text biomedical papers
Built an algorithm to mine Community-based organizations from relevant journal articles
Built a personalized ranking algorithm to rank biomedical papers in feeds
Implemented an Eigenfactor-based impact metric to rank scientific journals
Chan Zuckerberg Initiative / Research Science Intern, June 2018 - September 2018, Redwood City, CA
Developed a Graph Convolutional Network for cross-entity biomedical recommendations (e.g. journal → author, author → concept).
Amazon / Software Development Intern, June 2017 - September 2017, Boston, MA
Worked on the Machine Learning Platform team building mechanisms to audit security permissions for Alexa data.
Amazon / Software Development Intern, June 2016 - September 2016, Seattle, WA
Built the mobile web application for the Amazon Rewards Visa Credit Card, now deployed globally.
Stanford Computer Science Department / Summer Research Intern, June 2015 - September 2015, Stanford, CA
Built a web application to engage high-school students in Computer Science.
Professional Service
NeurIPS (Conference and Workshop on Neural Information Processing Systems) / Reviewer / 2022 - present ICML (International Conference on Machine Learning) / Reviewer / 2022 - present
Volunteering
Chan Zuckerberg Initiative Women in Tech (WIT) ERG / Executive Co-Lead / March 2022 - 2024 Expanding Your Horizons STEM Conference for Girls 2021 / Mentor for the AI Track
Teaching Experience
CS 109 (Introduction to Probability for Computer Scientists / Teaching Assistant Fall 2017, Spring 2017, Fall 2018, Stanford, CA CS 223A (Introduction to Robotics / Teaching Assistant Fall 2019, Stanford, CA CS 106A (Programming Methodology - Java) and CS 106B (Programming Abstractions - C++) / Section Leader Various Quarters from 2014-2017, Stanford, CA
Awards
International Earth Science Olympiad / Bronze Medal 2011 International Chemistry Olympiad 'D.I.Mendeleev' / Bronze Medal 2011 International European Union Science Olympiad / Gold Medal 2010