The main focus of my research is on designing machine learning algorithms that have theoretical performance guarantees and social consciousness. I am particularly interested in combining the aspect of gaining machine learning knowledge with an orientation towards making machine learning usable and useful for high-stakes decision-making, such as healthcare, business, climate, policy, and law. To this end, I have been exploring complex real-world data (e.g., EHR, MODIS, supply chain data), under multifarious contexts (e.g., censorship, imbalance, distribution shift), subject to different metrics (e.g., fairness, regime centroids, c-index), through joyful collaboration and team work with computational scientists and domain experts.
research interests
Ethical AI, Health Care, Data Mining, Interdisciplinary