Baris Coskunuzer

Baris Coskunuzer is a Professor in the Department of Mathematical Sciences at the University of Texas at Dallas (UT Dallas), part of the School of Natural Sciences and Mathematics. He holds a PhD from Princeton University (2004) and has held academic positions at institutions including Yale University, MIT, Boston College, and Koç University. His research focuses on Geometric Topology, Topological Data Analysis (TDA), and Machine Learning, with applications in medical imaging, drug discovery, and blockchain analysis. He has led multiple NSF-funded research grants and collaborates internationally.

Education:

• PhD in Mathematics, Princeton University, 2004
• M.S. in Mathematics, Caltech, 2001
• B.S. in Mathematics, Bogazici University, 1999

Research Interests:

• Geometric Topology
• Topological Data Analysis
• Machine Learning
• Medical Imaging
• Blockchain Analysis
• Data Science

Grants & Awards:

• NSF-DMS ATD Research Grant (2023–2026)
• NSF-DMS AMPS Research Grant (2022–2025)
• Young Scientist Award, Turkish Science Academy (2016)
• Fulbright Scholar Award (2014)
• Over 60 peer-reviewed publications in journals such as Communications on Pure and Applied Mathematics and NeurIPS

Advising & Labs:

• Supervises a research group focused on Topological Machine Learning (TML)
• Collaborates on projects like Topo-ML for medical diagnostics and GraphPulse for temporal graph analysis