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Russell Schwartz

Professor and Department HeadCarnegie Mellon University

Russell Schwartz works in computational biology and the use of algorithms, AI, machine learning, and simulation in biomedical science.

Cancer BiologyBiophysicsPopulation GeneticsComputational GenomicsMachine Learning

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

Josiah Yoder, Ph.D.

Adjunct Associate ProfessorMilwaukee School of Engineering

Dr. Josiah Yoder's specialties include computer vision, artificial intelligence, and deep learning.

Human-Machine Learning (HML)Natural Language ProcessingComputer VisionArtificial IntelligenceDeep Learning

Rosalyn Hobson Hargraves, Ph.D.

Professor, Department of Electrical and Computer EngineeringVCU College of Engineering

Rosalyn Hobson Hargraves is an associate professor in the Department of Electrical and Computer Engineering

Engineering Education and Service LearningMedical Image and Signal ProcessingArtificial Neural Network ApplicationsScience and Technology in International Development

Kerry Widder, Ph.D.

Associate ProfessorMilwaukee School of Engineering

Dr. Kerry Widder's areas of expertise include electrical engineering and computer hardware.

Embedded SystemsElectrical EngineeringComputer Hardware

Gabriel P. Pundrich

Assistant ProfessorUniversity of Florida

I use artificial intelligence/machine learning and natural language processing to help answer relevant accounting questions.

Municipal BondsDebt ContractingMerger and AcquisitionsAlgorithmic TradingNatural Language Processing

Ray Opoku

Data ScientistUniversity of Florida

Ray Opoku studies artificial intelligence, STEM education and equitable machine learning in health and learning systems.

Educational Technology and Learning AnalyticsPredictive AnalyticsArtificial intelligence in education and healthcareMachine LearningAlgorithmic Fairness and Bias