AI & Advanced Computing
Hima Lakkaraju
Assistant Professor, AI2050 Early Career Fellow

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Year
2023
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Program
AI2050
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Institution
Harvard University
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Field of Study
Computer Science
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Location
USA
Himabindu (Hima) Lakkaraju is an Assistant Professor at Harvard University and her research spans the broad area of trustworthy machine learning. She focuses on improving the interpretability, fairness, privacy, robustness, and reasoning capabilities of various machine learning models including large language models and text-to-image models. Hima has co-authored more than 60 publications at top-tier machine learning conferences (e.g., ICML, NeurIPS, ICLR, AISTATS) as well as interdisciplinary journals (e.g., Nature Machine Intelligence, Nature Scientific Data), and has given keynote talks at various prestigious venues including the Stanford HAI conference, EmTech MIT conference, CIKM, ICML, NeurIPS, ICLR, AAAI, and CVPR. She has been named one of the world’s top innovators under 35 by both MIT Tech Review and Vanity Fair. She also received several prestigious awards including the National Science Foundation (NSF) CAREER award and multiple best paper awards at top-tier ML conferences, and grants from NSF, Google, Amazon, JP Morgan, and Bayer. Her research has been showcased by popular media outlets including the New York Times, TIME magazine, and Forbes. More recently, Hima co-founded the Trustworthy ML Initiative to enable easy access to resources on trustworthy machine learning, and to build a community of researchers and practitioners working on the topic.