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Ameet Talwalkar

Ameet Talwalkar

Associate Professor, Machine LearningCarnegie Mellon University

Ameet Talwalkar's work is motivated by the goal of democratizing machine learning.

Machine LearningAlgorithmsComputational BiologyBioinformaticsData Mining
Malik Magdon-Ismail

Malik Magdon-Ismail

Professor, Computer ScienceRensselaer Polytechnic Institute

Learning from data and decision-making in complex data systems

Probability and Stochastic ProcessesPattern RecognitionMachine LearningBig DataAlgorithms
Olexandr Isayev

Olexandr Isayev

Assistant Professor, ChemistryCarnegie Mellon University

Olexandr Isayev's research focuses on solving fundamental chemical problems with machine learning, molecular modeling and quantum mechanics.

Theoretical ChemistryComputational ChemistryMachine LearningCheminformaticsDrug Discovery
Rayid Ghani

Rayid Ghani

Distinguished Career ProfessorCarnegie Mellon University

Rayid Ghani is a reformed computer scientist who wants to increase the use of large-scale Machine Learning in solving large public policy.

Predictive AnalyticsMachine LearningEthicsPublic PolicyInformation Systems
Hoda Heidari

Hoda Heidari

Assistant ProfessorCarnegie Mellon University

Hoda Heidari is broadly interested in the Ethical and Societal Aspects of Artificial Intelligence and Machine Learning.

ElectionsFairness and AccountabilityArtificial IntelligenceEthicsMachine Learning
Tom Mitchell

Tom Mitchell

Founders University ProfessorCarnegie Mellon University

Tom Mitchell is a longtime researcher in AI, including new systems that can improve healthcare, education, climate and more.

Machine LearningArtificial IntelligenceComputational Neuroscience
Graham Neubig

Graham Neubig

Associate ProfessorCarnegie Mellon University

Graham Neubig's research is concerned with language and its role in human communication.

Machine LearningNatural Language ProcessingMachine TranslationSpoken Language Processing
Aarti Singh

Aarti Singh

ProfessorCarnegie Mellon University

Aarti Singh researches machine learning, statistics and signal processing, focusing on algorithms for learning and decision making.

Digital TwinsHuman Factors in Decision MakingAutonomous Decision MakingMachine LearningSignal Processing
Zachary Lipton

Zachary Lipton

Associate ProfessorCarnegie Mellon University

Zachary Lipton's research spans machine learning methods and their applications in healthcare and natural language processing.

Machine LearningMachine IntelligenceNatural Language Processing (NLP)Deep Learning
Deva Ramanan

Deva Ramanan

ProfessorCarnegie Mellon University

Deva Ramanan's research interests span computer vision and machine learning, with a focus on visual recognition.

Human-Centered RoboticsHuman-Robot CollaborationMachine Learning Embedded in SystemsNeurorobotics3-D Vision and Recognition