About Me
Hi! I am PhD student in the Department of Electrical Engineering and Computer Science (EECS) at MIT advised by Prof. Marzyeh Ghassemi. My research broadly focuses on developing fair, interpretable, and robust models by carefully re-evaluating and surfacing assumptions in machine learning-based measurements in socially-relevant contexts.
Previously, I was a Research Engineer at Winterlight Labs. I graduated from the University of Toronto with a Master’s degree in Applied Computing. My master’s project, generously supported by Winterlight Labs and a Mitacs Accelerate Scholarship, was supervised by Prof. Marzyeh Ghassemi, Prof. Frank Rudzicz, and Dr. Jekaterina Novikova. Prior to this, I graduated with honors from the Indian Institute of Technology, Guwahati.
I have also held research intern positions at the Max Planck Institute for Security and Privacy, Bochum (supervised by Prof. Asia Biega), the Technische Universität, Dresden as a DAAD-WISE scholar in 2016 (supervised by Prof. Carsten Rother and Prof. Stefan Gumhold), and at the Philips Innovation Campus, Bengaluru in the healthcare R&D team in 2017.
Here is my CV.
Research Interests
I am broadly interested in developing techniques to support fair classification and ranking in healthcare contexts. In this scope, the themes of my own research are:
(1) Understanding and Improving Responsible Data Acquisition Practices, (2) Developing Algorithms and Measures for Fair Ranking, and (3) Studying Views of Interpretability to Achieve Fair Outcomes Through an HCI+AI lens.