machine learning Experts
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Pierre Baldi
Distinguished Professor of Computer Science and Director of the Artificial Intelligence in Science InstituteUC Irvine
Pierre Baldi works at the intersection of biology and computer science with an expertise in artificial intelligence and deep learning.
Malik Magdon-Ismail
Professor, Computer ScienceRensselaer Polytechnic Institute
Learning from data and decision-making in complex data systems
Rayid Ghani
Distinguished Career ProfessorCarnegie Mellon University
Rayid Ghani designs and deploys AI systems with governments for health, housing and justice and advises them on AI governance & evaluation.
Zachary Lipton
Associate ProfessorCarnegie Mellon University
Zachary Lipton's research spans machine learning methods and their applications in healthcare and natural language processing.
Padhraic Smyth
Distinguished Professor of Computer Science and Director of the Data Science InitiativeUC Irvine
Padhraic Smyth studies machine learning, artificial intelligence, pattern recognition and applied statistics.
Matthias Winkenbach, PhD
Director of Research, MIT Center for Transportation & Logistics | Senior Research Scientist, MIT | Chair, MIT Transportation Education Committee | Director, MIT Intelligent Logistics Systems Lab & MIT CAVE LabMIT Center for Transportation & Logistics
Dr. Winkenbach researches at the intersection of AI, operations research, and human decision-making — transforming global supply chains.
Aarti Singh
ProfessorCarnegie Mellon University
Aarti Singh's research focuses on design of AI agents that complement human decision making.
Sai Zhang
Assistant ProfessorUniversity of Florida
Sai Zhang's research leverages machine learning and big biomedical data to decode complex human diseases and advance precision medicine.
Carolyn Penstein Rosé
ProfessorCarnegie Mellon University
Carolyn Rosé's research advances Sociotechnical AI through human-AI collaboration and data-driven inductive biases and representations.
Mingzhang Yin
Assistant ProfessorUniversity of Florida
Mingzhang Yin studies probabilistic machine learning, Bayesian methods and causal inference.
