Dr. Larry Medsker

Larry Medsker

Dr. Larry Medsker

Research Professor, Human-Technology Collaboration Concentration

School: Graduate School of Education and Human Development


Dr. Larry Medsker is a Research Professor in the Human-Technology Collaboration Lab and GSEHD's Ph.D. in Education: HTC Concentration. His research interests include artificial intelligence, cognitive assistance, Physics Education Research, STEM education, and policy and ethics in AI. He was the founding Director of the GW Master's in Data Science program, and he has written five books and more than 200 articles in areas of physics, computer science, and AI.

He serves as the Principal Investigator (PI) on an NSF Noyce grant that awards scholarships for GWTeach students who will become STEM teachers in high-need schools post-graduation. This is a joint program between the Columbian College of Arts & Sciences and GSEHD.

Dr. Medsker also serves as Co-Editor-in-Chief, alongside Professor John MacIntrye of the University of Sunderland, UK, of AI and Ethics, a Springer Nature journal they co-founded in 2021. AI and Ethics seeks to promote informed debate and discussion of the ethical, regulatory, and policy implications that arise from the development of AI. It will focus on how AI techniques, tools, and technologies are developing, including consideration of where these developments may lead in the future.

He is also the Associate Editor of Neural Computing and Applications, an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.

In addition, he serves as the Public Policy Officer for ACM SIGAI  (Special Interest Group on Artificial Intelligence) and manages the AI Matters blog.

Dr. Medsker is also a member of the Association for Computing Machinery (ACM) professional society and is part of their US Technology Policy Committee.

Ph.D., Indiana University (Physics)

M.S., Indiana University (Physics)

A.B., Indiana University (Chemistry)

MacIntyre, J., Medsker, L. & Moriarty, R. Past the tipping point?. AI Ethics 1, 1–3 (2021). https://doi.org/10.1007/s43681-020-00016-1

Ebell, C., Baeza-Yates, R., Benjamins, R. et al. Towards intellectual freedom in an AI Ethics Global Community. AI Ethics 1, 131–138 (2021). https://doi.org/10.1007/s43681-021-00052-5

Teodorescu, R., Bennhold, C., Feldman, G., & Medsker, L. (2013). A new approach to analyzing physics problems: A taxonomy of introductory physics problems. Physical Review Special Topics – Physics Education Research, 8(010103), 20 pp.

Teodorescu, R., Medsker, L., et al. (2008). Enhancing cognitive development through physics problem solving: Thinking-skills curriculum. Science and Mathematics, Education Conference (SMEC 08), Dublin, Ireland.

Fernandez, C., Nayeri, S., & Medsker, L. (2005, August). Independent component analysis applications in physics. Proceedings of the International Joint Conference on Neural Networks, Montreal, Canada, 2213-2216.

Nayeri, S., Unadkat, S., Patel, H., Schulte, T., & Medsker, L. (2001, July). Independent component analysis applications in physics. Proceedings of the International Joint Conference on Neural Networks, Washington, DC, 1926-1930.

Medsker, L. R. & Jain, L. C., eds. (2000). Recurrent neural networks: design and applications. Boca Raton, FL: CRC Press.

Medsker, L. (1995). Hybrid intelligent systems. Boston, MA: Kluwer Academic Publishers.

Medsker, L., & Liebowitz, J. (1994). Design and development of expert systems and neural networks. NY, NY: Macmillan.

Medsker, L., and Turban, E. (1992). Neural computing and artificial intelligence. Expert Systems and Applied Artificial Intelligence. NY,NY: Macmillan.