Bias in Algorithms Panel

Susan J. Brison is Eunice and Julian Cohen Professor for the Study of Ethics and Human Values and Interim Director of the Susan and James Wright Center for the Study of Computation and Just Communities at Dartmouth College. She has held visiting positions at Tufts University, New York University, and Princeton University, and has been a Mellon Fellow in the Program in Law, Philosophy, and Social Theory at New York University and an NEH-funded member of the School of Social Science at the Institute for Advanced Study in Princeton, New Jersey. Brison is the author of Aftermath: Violence and the Remaking of a Self (Princeton University Press, 2002, 2023), which has been translated into French, German, Italian, Turkish, and Farsi, and was re-published in a new twentieth anniversary edition earlier this year. She is, in addition, the co-editor of Contemporary Perspectives on Constitutional Interpretation (Westview 1993) and of Free Speech in the Digital Age (Oxford University Press 2019). She has recently designed and taught new courses on Free Speech in the Internet Age, at Princeton, and on Ethics and Information Technology, at Dartmouth.

DeepC (Deeparnab Chakrabarty) is a faculty member at the Department of Computer Science at Dartmouth college. Before moving to academia he worked for Microsoft Research in Bangalore, India for 5 years. He is a theoretical computer scientist, and his research is at the intersection of mathematical optimization and the efficiency and limitations of algorithms. He has worked on a broad set of problems arising in big-data analysis, machine learning, and algorithmic economics.

Simon Stone joined the Dartmouth Library in 2022 from Technische Universität (TU) Dresden in Germany, where he was a senior researcher and lecturer. At TU Dresden, he managed various data-driven projects, and taught undergraduate and graduate students a variety of skills including machine learning, signal processing, and speech technology.  He also worked as a freelance data scientist, where he created custom analysis and machine learning solutions for a variety of clients. Simon holds a doctoral degree in electrical and computer engineering from TU Dresden, and a master’s degree in electrical engineering and information technology with a minor in medical engineering from RWTH Aachen University. In his role as a Research Data Science Specialist, he mixes data science with robust academic research and teaching.

Chase Yakaboski is a PhD Candidate at the Thayer School of Engineering specializing in the intersection of Artificial Intelligence and human decision-making. Throughout his academic journey at Thayer, Chase has received various accolades such as a Fulbright grant to Austria and an Innovation Program Fellowship. His research investigates the dynamic relationship between AI algorithms and human cognition, aiming to develop computational models that enhance human decision-making processes. His expertise extends to leveraging AI solutions for accelerating breakthroughs in biological research, as demonstrated by his involvement in a NIH National Center for Advancing Translational Sciences (NCATS) research grant. With a solid foundation in physics from his undergraduate studies at the University of California, Berkeley, Chase brings a multidisciplinary approach to his research, integrating principles from physics and computer engineering. His commitment to research excellence is matched by his dedication to service, as evidenced by his roles on the Magnuson Student Leadership Board, the Thayer DEI committee, and his presidency of the Dartmouth Society of Engineers.