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Ron Yurko
Director, Carnegie Mellon Sports Analytics Center, and Assistant Teaching ProfessorCarnegie Mellon University
Ron Yurko develops methods at the interface of inference and machine learning, oriented towards problems in sports analytics.
Brian Gunter
Assistant Professor, Aerospace EngineeringGeorgia Tech - COE
Brian Gunter's research activities involve various aspects of spacecraft missions and their applications.
Dean Krusienski, Ph.D.
Professor and Graduate Program Director, Department of Biomedical Engineering | B.S., M.S., Ph.D., The Pennsylvania State UniversityVCU College of Engineering
Focusing on neural signal processing and analysis for the development of brain-computer interfaces and neuroprosthetic devices.
Heather Walden
Associate ProfessorUniversity of Florida
Heather Walden works with zoonotic and non-zoonotic parasites of exotic and domestic hosts focusing on classical and molecular parasitology.
Simon Medcalfe, PhD
ProfessorAugusta University
Dr. Simon Medcalfe is an economist with an emphasis on sports economics, social determinants of health, and the local economy.
Mitchell Lovett
Associate Professor of Marketing at the Simon Business SchoolUniversity of Rochester
Mitchell Lovett applies and develops quantitative methods to study marketing problems; Artificial Intelligence (AI) expert
Yossi Sheffi, PhD
Director, MIT Center for Transportation & Logistics | Director, MIT Supply Chain Management Program | Elisha Gray II Professor of Engineering Systems, MITMIT Center for Transportation & Logistics
Dr. Sheffi is an expert in systems optimization, risk analysis, and supply chain management.
Claire Davies
Assistant Professor, Faculty of Engineering and Applied Science, Mechanical and Materials Engineering Queen's University
My primary research goal focuses on increasing independence of people with disabilities
Vilma Todri
Associate Professor of Information Systems & Operations ManagementEmory University, Goizueta Business School
Aaditya Ramdas
Associate ProfessorCarnegie Mellon University
Aaditya Ramdas' research is aimed at solving basic problems in science and technology.
