Sept 25: Accepted to NeurIPS! Co-first author work with Aditya Mate developing theory for Collapsing Bandits, a new subclass of Restless Bandits. Simulation evaluations on a real-world-derived public health challenge. Extensions to follow [preprint]
Sept 24: Accepted to PNAS! Our COVID-19 modeling work of between-population variation of disease dynamics by accounting for country-specific demographics, contact patterns, comorbidities, and household structures [publication] [code]
April 30: Live interview on ABC-7 WJLA about our work modeling COVID-19 [video]
April 28: (COVID-19) See our collaborative work with The Daily Beast to evaluate Georgia's proposed reopening policies. Great experience working the journalists on The Daily Beast team! [article] [preprint]
I am a PhD student in Computer Science at Harvard University. Advised by Prof. Milind Tambe, I study how AI techniques can solve challenges in public health, with a technical focus in machine learning and sequential decision making. Using these approaches, I have developed predictive models and sequential planning tools for community health workers in India combatting tuberculosis. Part of this work I conducted from Banglore while on a research internship with Microsoft Research India, where I was grateful to be advised by Dr. Amit Sharma. Currently, I am very proud and fortunate to be supported by a 2019-'22 National Science Foundation Graduate Research Fellowship.
Previously, I have worked on building agent-based models for simulating non-pharmacological interventions for preventing the spread of COVID-19 and designed machine learning models for detecting sobriety using mobile health data (check out the dataset!) During my undergraduate degree at The Ohio State Univeristy, I studied computational genetics as a Pelotonia fellow.
Outside of research, I co-direct the Harvard AI in Healthcare Group, a cross-sectional organization that brings together students, researchers and entrepreneurs from across disciplines to explore opportunities and hear from leading experts in this exciting space. I also co-organize the Harvard CRCS Rising Stars Workshop which seeks to highlight and provide networking and mentorship opportunities to budding junior researchers dedicated to studying AI for Social Impact.