Arbaaz Muslim
Arbaaz is a researcher on the Health AI team at Google, where he is currently working on a foundation model that captures population dynamics. He earned his MS in Electrical Engineering and Computer Science from UC Berkeley in 2023, with a thesis focusing on protein language modeling. In industry, he has worked at various health-tech startups, designing and implementing data infrastructure to incorporate patient data into machine learning models. In academia, he contributed to research projects on neural tracking and neural receptive field prediction. Arbaaz's interests lie in leveraging machine learning and data engineering to improve healthcare outcomes.
Authored Publications
Sort By
Google
General Geospatial Inference with a Population Dynamics Foundation Model
Chaitanya Kamath
Prithul Sarker
Joydeep Paul
Yael Mayer
Sheila de Guia
Jamie McPike
Adam Boulanger
David Schottlander
Yao Xiao
Manjit Chakravarthy Manukonda
Monica Bharel
Von Nguyen
Luke Barrington
Niv Efron
Krish Eswaran
Shravya Shetty
(2024) (to appear)
Community search signatures as foundation features for human-centered geospatial modeling
Chaitanya Kamath
Mohit Agarwal
David Schottlander
Shailesh Bavadekar
Niv Efron
Shravya Shetty
ICML 2024 Workshop on Data-Centric Machine Learning Research
