Himabindu Lakkaraju | |
|---|---|
| Alma mater | Indian Institute of Science Stanford University |
| Scientific career | |
| Institutions | University of Chicago IBM Research Microsoft Research Harvard University |
| Thesis | Human-centric machine learning : enabling machine learning for high-stakes decision-making (2018) |
| Doctoral advisor | Jure Leskovec |
Himabindu "Hima" Lakkaraju is an Indian-American computer scientist who works on machine learning, artificial intelligence, algorithmic bias, and AI accountability. She is currently an Assistant Professor at the Harvard Business School and is also affiliated with the Department of Computer Science at Harvard University. Lakkaraju is known for her work on explainable machine learning. More broadly, her research focuses on developing machine learning models and algorithms that are interpretable, transparent, fair, and reliable. She also investigates the practical and ethical implications of deploying machine learning models in domains involving high-stakes decisions such as healthcare, criminal justice, business, and education. Lakkaraju was named as one of the world's top Innovators Under 35 by both Vanity Fair and the MIT Technology Review.
She is also known for her efforts to make the field of machine learning more accessible to the general public. Lakkaraju co-founded the Trustworthy ML Initiative (TrustML) to lower entry barriers and promote research on interpretability, fairness, privacy, and robustness of machine learning models.[1] She has also developed several tutorials[2][3][4][5] and a full-fledged course on the topic of explainable machine learning.[6]