I am a Schmidt Science Fellow at the MIT Laboratory for Information and Decision Systems working with Devavrat Shah. My research interests span stochastic modeling, performance analysis, learning, and optimization for making networked socio-technical systems more trustworthy and performant.  

I obtained my PhD in Electrical and Computer Engineering at Carnegie Mellon University where I was affiliated with the CyLab Security & Privacy Institute and advised by Osman Yağan.  My doctoral research has been recognized by a Best Paper Award at IEEE ICC '21, an Information Theory and Applications (ITA) Graduation Day Award  '24, and several competitive fellowships, including the College of Engineering's Dowd Fellowship '20 (awarded to top-3 applicants) and the Cylab Presidential Fellowship ('20, '23). I have been honored as an EECS Rising Star (Georgia Tech '23 and MIT '21).

I completed my Bachelors and Masters in Electrical Engineering at the Indian Institute of Technology (IIT) Bombay, India, working with Sharayu Moharir and  Ankur Kulkarni at the interface of optimization and game theory for resource allocation in online matching markets. 

I am passionate about improving representation in computing and making science and art more accessible to diverse audiences. For my contributions to diversity, equity, and inclusion, I have been awarded the Graduate Student Service Award  ('24), Cadence Diversity in Technology Award ('23), the Unsung Hero Award ('22), and the Advanced Graduate Ambassadorship of the Institute for Advanced Study, Princeton ('22).

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