Hey! I am a PhD student at the MURGe-Lab at the University of North Carolina - Chapel Hill, where I work with Prof. Mohit Bansal. My research goal is to better exploit structures, geometrical properties and invariances in ML models and to make them more interpretable, robust and fair.
Over the past few years, I have been fortunate to work with Prof. Partha Talukdar at MALL-Lab at Indian Institute of Science Bangalore, with Dr. Prateek Jain at Microsoft Research India and with Prof. Arun Rajkumar at Indian Institute of Technology, Madras. I was also at LinkedIn AI Bangalore for a year. Before all this, I completed my undergraduate degree in mathematics in 2018 from IISc, Bangalore and my bachelor’s thesis was supervised by Prof. Partha Talukdar and Prof. Kaushal Verma.
Check out my publication page to know more about my current research. I am also actively involved in improving the way science is taught to students, through simple experiments and conducting workshops via Notebook Drive.
|Jan 23, 2021||Pre-print for our paper Discrete Time Latent Hawkes Processes for Modeling Multidimensional Temporal Event Streams is now available!|
|Nov 27, 2020||Our paper Rank Refinement: An Algorithmic framework with applications to diversity aware influence maximization has been accepted at GCLR workshop at AAAI 2020.|
|Sep 21, 2020||Our paper NHP: Neural Hypergraph Link Prediction has been accepted at CIKM 2020.|
|Sep 3, 2019||Our paper titled HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs got accepted at NeurIPS 2019.|
|May 14, 2019||Our paper titled Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks got accepted at ACL 2019.|