Hi! I am a Third Year PhD studnet with IIT Bombay, India. I joined PhD in the year 2021 and am fortunate to be advised by Prof. Sunita Sarawagi and Prof. Abir De. I work in the areas of Causal Inference and Algorithmic Recourse. My PhD is generously funded by the Prime Minister Research Fellowship.
Prior to IITB, I spent about 1.5 years with IBM Research working on cutting edge topics like Federated learning, assessing data quality metrics, aggregating user preferences etc. Prior to that, I completed masters from IISc Bangalore. I worked with Prof. M Narasimha Murty on finding outlier robust representations of nodes in Social Networks.
PhD in Computer Science and Engineering, 2021 - Present
M.Tech. in Computer Science, 2019
B.E. in Computer Science, 2015
CEG, Anna University
Learning recourse on the environment that generates data instances.
Using Reinforcement Learning based techniques to enable clients in Federated Learning derive updates only from relevant data.
Using Cooperative Game theory approaches to mitigate the impace of noisy clients in Federated Learning.
Shapley values based approach to detect slices of data that needs to be analyzed to debug the performance of a black-box ML model.
Auto encoder inspired deep architectures for finding outlier robust network embedding for nodes in an attributed networks through adversarial training.