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Nirjhar Das
I am an incoming PhD student at Stanford MS&E. I have submitted my MTech (Research) thesis at the Dept. of CSA, IISc Bangalore under the guidance of Prof Siddharth Barman. My thesis focused on problems in Diversity in Nearest Neighbor Search, Sample-Efficient Alignment, and Auditing Fairness of Classifiers. My research interests are computational economics and social choice, learning theory and algorithms in general. I also enjoy high dimensional probability and its applications.
I graduated with a B.Tech in Electrical Engineering from IIT Delhi.
My BTech thesis was in Reinforcement Learning and Multi-Armed Bandits under Prof. Arpan Chattopadhyay, which was selected for the Best BTech Project Award.
I also completed a Minor in Cognitive and Intelligent Systems in the Dept. of EE, IIT Delhi.
From August 2023 to June 2024, I worked as a Research Intern at Microsoft Research India under Dr. Gaurav Sinha. At MSRI, I worked on problems related to Multi-Armed Bandits in large action spaces and under various constraints.
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