Vedant Nanda

I am a PhD student in the Computer Science Department at University of Maryland, College Park and MPI-SWS under the Maryland-Max Planck joint program. I am fortunate to be advised by Krishna P. Gummadi (MPI-SWS) and John P. Dickerson (Univ. of Maryland). I also collaborate closely with Adrian Weller (Univ. of Cambridge). My research interests lie in topics related to Trustworthy Machine Learning. In this space, my work has looked at the fairness implications of counterfactual explanations (ICML2019); fairness implications of disparate adversarial robustness in image classification models (FAccT2021), and fairness issues in two sided markets such as rideshare platforms (AAAI2020). Recently, I've been interested in understanding representational robustness of deep neural nets (ICML2022).

I obtained my undergrad from IIIT Delhi (2015 - 2019) majoring in Computer Science and Engineering, where I was associated to Precog. During my undergrad I worked on topics related to Social Computing, Computational Social Science and ICT4D.

I am fortunate to have worked with some amazing mentors (in alphabetical order): Muhammad Bilal Zafar (Amazon), Hoda Heidari (ETH Zürich), Ponnurangam Kumaraguru (IIIT Delhi), Rijurekha Sen (IIT Delhi) and Pushpendra Singh (IIIT Delhi). I spent the wonderful summer of 2018 interning at MPI-SWS where I was advised by Krishna P. Gummadi.

For more, check out my CV.

  vnanda [at] mpi-sws [dot] org   vedant [at] cs [dot] umd [dot] edu



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