Hima Lakkaraju
Assistant Professor at Trustworthy ML Initiative (TrustML)
Greater Boston United States
Summary
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Senior🎓
Top SchoolHima Lakkaraju is an Assistant Professor at Harvard University with 11 years of experience at the intersection of machine learning, trustworthy AI, and applied data science. She completed a PhD at Stanford after an M.Eng. in ML and Data Mining from IISc, and worked in industry research roles at IBM, Microsoft Research, and Adobe before transitioning to academia. As co-founder of the Trustworthy ML Initiative and former Chief AI Research Fellow at Fiddler, she bridges rigorous research with practical tools for deploying and auditing ML systems. Her career blends foundational research, postdoctoral training, and product-focused AI research, with a track record of translating academic insights into real-world model governance and interpretability efforts. A Greater Boston–based researcher, she combines deep technical expertise with a clear commitment to responsible ML adoption.
11 years of coding experience
3 years of employment as a software developer
Master of Engineering, Computer Science - Machine Learning & Data Mining, Master of Engineering, Computer Science - Machine Learning & Data Mining at Indian Institute of ScienceDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Stanford University
Github Skills (2)
machine-learning1
debugging1
Github contributions (5)
lvhimabindu/interpretable_decision_sets
Oct 2017 - Aug 2018
Contributions:11 commits, 3 pushes, 1 comment in 10 months
lvhimabindu/Algorithms
Dec 2015 - Dec 2015
Contributions:35 pushes, 1 branch in 11 days
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