I am a final-year PhD candidate in Electrical and Computer Engineering at Carnegie Mellon University. At CMU, I am affiliated with the CyLab Security & Privacy Institute and advised by Osman Yağan. I have been lucky to collaborate with Chai Wah Wu at IBM T. J. Watson Research Center,  H. Vincent Poor and Simon A. Levin at Princeton University, and Giulia Fanti at CMU.  I spent Summer 2022 working with the Robust and Safe Deep Learning team at the Bosch Center for Artificial Intelligence

My research focuses on stochastic modeling, performance analysis, learning, and optimization for making networked systems that interface with society and our daily lives more trustworthy and performant.  At CMU, my research has been recognized by a Best Paper Award at IEEE ICC '21 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 twice recognized as an EECS Rising Star (MIT '21 and Georgia Tech '23).

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 ride-sharing networks. 

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

Note: I am on the 2023/24 job market for faculty and post-doctoral positions.

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