About Me

I am a Machine Learning Engineer at Apple, where I design and develop multimodal, generalizable deep learning models for health sensing and diagnostic systems, leveraging the Apple ecosystem to enhance consumer health. My current research interests include multimodal representation learning, time-series analyses, domain adaptation and generalization, as well as, model understanding, interpretability, and explainability.

Previously, I obtained my PhD from Stanford University, where I was lucky to be advised by Daniel Rubin and mentored by Akshay Chaudhari, Christopher Lee-Messer, Jonathan Chen, and Wui Ip. My research focused on developing robust, data-efficient, and trustworthy deep learning models for medical time-series and medical imaging analysis.

Since Spring 2021, I founded and co-organize the Stanford MedAI Group Exchange Sessions, an inter-institutional weekly seminar series featuring speakers from around the world on advances in medical AI research. Check out our YouTube channel!

Outside of research, I have several interests that span a wide gamut of things - including but not restricted to - travelling, social dance, gardening, music, art, creative writing, getting lost, hiking, biking and exploring new things.

Resume

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