My current research centers around discrete choice models. These are probabilistic models that describe how human beings make choices when presented with a range of options in any given context. In particular, I am studying recommendation systems that learn from choice data. I am also interested in developing new models of how humans make choices in a variety of contexts. 

During my Ph.D., I worked on blockchains, studying them from a theoretical point of view. I worked on analyzing their security under adverse network conditions as well as developing protocols that can help them function more efficiently.

More broadly, I am interested in modelling, designing, and analyzing engineering systems using tools from probability, networks, and algorithms. I enjoy learning new theoretical concepts and explaining what I know to others.

Please have a look at my CV or publication list to know more about my research.

• Ph. D., Electrical & Computer Engineering, University of Illinois at Urbana-Champaign (2018-2022)

• M.S., Electrical & Computer Engineering, University of Illinois at Urbana-Champaign (2016-2018)

• B.Tech., Electrical Engineering, Indian Institute of Technology Bombay (2012-2016)

• zkCapital Paper of the Week recognition for 'The Longest-Chain Protocol Under Random Delays' (2021)

• Rambus Fellowship, ECE Department, University of Illinois (2021)

• Mavis Future Faculty Fellowship, Grainger College of Engineering, University of Illinois (2019)

• List of Teachers Ranked as Excellent: as a TA for 'High-Dimensional Geometric Data Analysis', University of Illinois (2019)

• Nominated for the department undergraduate colloquium series, EE, IIT Bombay (2016)

• Best poster award at the Undergraduate Research Symposium, IIT Bombay (2013)