Dr. Kam Dahlquist is an Associate Professor of Biology and Affiliate Faculty of the Bioethics Institute at Loyola Marymount University. In her research with undergraduates, Dr. Dahlquist follows an interdisciplinary approach to understanding gene regulatory networks that involves cutting-edge techniques in genomics, mathematical, and computational biology. This research crosses over into her teaching in such courses as Molecular Biology of the Genome, Biomathematical Modeling, Biological Databases, and Bioinformatics Laboratory. Dr. Dahlquist promotes and fosters an Open Science Ecosystem where the process and products of research are developed in the open, including open data, open source code, open access publishing, and open pedagogy. These practices support research integrity and reproducible research.
Ran "RON" Libeskind-Hadas is the R. Michael Shanahan Professor of Computer Science at Harvey Mudd College and former chair of the department. He received the A.B. in applied mathematics at Harvard University and the M.S. and Ph.D. in computer science at the University of Illinois at Urbana-Champaign. He co-developed the "Green" course with Prof. Eliot Bush in the Harvey Mudd Biology Department. His research interests are in algorithmic computational biology. He is also interested in computer science education and serves as the co-chair of the Computing Research Association's Education Committee (CRA-E).
Dr. Andrew Schaffner is a Professor of Statistics and Director of the Cross-Disciplinary Minor in Data Science program at Cal Poly, San Luis Obispo. In addition to his love of facilitating learning for students, his research interests include longitudinal analyses with applications in the life and environmental sciences. He serves on advisory committees for the Oceans of Data Institute and Business Higher Education Forum as active proponent of statistical and computational literacy for K-16 students. His scholarly work appears in The American Journal of Clinical Nutrition, Experimental Diabetes Research, Journal of Women's Health, Trials, and the Journal of Applied Probability.