Mudit is a 2nd year Masters student at the School of Information focussing on data science, machine learning and algorithmic fairness. He is currently working on fairness in education systems. In the past, he has done research in NLP, primarily focusing on topic modeling and game theoretic keyphrase extraction. Before Berkeley, he worked for 2+ years in the data science and analytics consulting industry.
Human-Centered AI, Fairness in Machine Learning