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Harry Krejsa
Director of Studies, Washington Office, Carnegie Mellon Institute for Strategy & TechnologyCarnegie Mellon University
Harry Krejsa leads research on emerging technology trends and their implications for US government policy.
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.
Eni Halilaj
Associate Professor, Mechanical EngineeringCarnegie Mellon University
Eni Halilaj seeks to understand and optimize human movement mechanics.
James Kendrick, Ph.D.
Professor, Film & Digital Media, Undergraduate Program DirectorBaylor University
Expert on Spielberg films, cult & horror films, post-Classical Hollywood film history & new cinema technologies
Ana Santos Rutschman, SJD, LLM
Professor of Law; Faculty Director, Health Innovation LabVillanova University
Professor Rutschman, SJD, LLM, researches topics in health law, biotech, innovation policy, patent law and law and technology.
Francine Berman
Stuart Rice Honorary Chair and Research Professor, Manning College of Information and Computer SciencesUniversity of Massachusetts Amherst
Francine Berman is a data scientist whose work focuses on the social and environmental impacts of information technology.
Jeffrey Miller
Dean of College of Engineering and Computer SciencesSouthern Utah University
Dr. Jeffrey Miller serves as the dean of the College of Engineering and Computational Sciences at Southern Utah University.
Mario Bergés
ProfessorCarnegie Mellon University
Mario Bergés is interested in making our built environment more operationally efficient through the use of communication technologies.
Weiai (Wayne) Xu
Associate Professor of Communication and Affiliated Faculty at Computational Social Science InstituteUniversity of Massachusetts Amherst
Wayne Xu studies what he calls the "three Ds" on internet platforms: discord, distrust and dishonesty.
Jeremy Waisome
Assistant ProfessorUniversity of Florida
Jeremy Waisome uses qualitative and quantitative methods to explore mentorship, self-efficacy and career interest in engineering/computing.
