Eleanor Tursman
Eleanor is a computer scientist invested in bridging the gap between academic research and policy to promote social good. She believes in advancing science-based regulation of AI and other technologies, tools which can be used to disenfranchise and discriminate against minority groups, threaten democracy, and propagate disinformation.
Integrating her academic background in computer science, physics, and applied math, Eleanor’s research specialty lies in 3D computer vision, with a focus on the human face. Her most recent published work centers on finding new ways to approach deepfake detection, with a focus on long-term robustness as fake video becomes harder to visually identify. During her graduate studies, she collaborated with researchers in France on a novel view synthesis project for dynamic scenes.
Eleanor is passionate about teaching, received a teaching certificate from the Sheridan Center at Brown University, and has mentored students in a variety of science courses. She has promoted science research in several K-12 outreach programs, and has mentored college students from underrepresented groups considering a career in STEM research. She has a M.S. is in computer science from Brown University, and a B.A. in physics with honors from Grinnell College.
Eleanor is serving with Rep. Lori Trahan (D-MA) and working on AI ethics and data privacy issues.