معرفی
Justin Solomon is an Associate Professor in the Department of Electrical Engineering and Computer Science at MIT, leading the Geometric Data Processing Group within CSAIL. His research focuses on applying geometric principles to solve challenges in computer graphics, medical imaging, autonomous systems, and political redistricting. He earned his PhD from Stanford University and completed postdoctoral research at Princeton’s Program in Applied and Computational Mathematics. His work bridges theoretical foundations with practical tools, such as optimal transport and machine learning, to advance shape analysis and data-driven geometry.
Education:
- PhD in Computer Science, Stanford University
- Postdoctoral Research, Princeton University
Research Interests: Applied geometry, optimal transport, 3D shape analysis, machine learning for geometry, computational topology, and interdisciplinary applications like autonomous driving and political redistricting fairness. His group develops methods for robust processing of geometric data across domains, from medical imaging to manufacturing.
Projects:
- Political Geometry: Using geometric algorithms to combat gerrymandering and ensure fair redistricting.
- Geometric Data Processing Group: Expanding geometric tools for 3D modeling, autonomous systems, and data analysis.
- Optimal Transport: Bridging theory and practice for statistical and machine learning applications.
Labs/Teams: CSAIL’s Geometric Data Processing Group and collaborations with the MIT Center for Computational Science and Engineering (CCSE).
