معرفی
Jose Perea is an Associate Professor at Northeastern University, jointly appointed in the Department of Mathematics and the Khoury College of Computer Sciences. He holds a Ph.D. from Stanford University and a B.Sc. (Summa cum Laude and Valedictorian) from Universidad del Valle. His research focuses on Topological Data Analysis (TDA), with applications to machine learning, signal analysis, and computational topology. He has developed algorithms like DREiMac and FibeRed for dimensionality reduction, and SW1PerS for periodicity detection in time series and video data.
His academic journey includes postdoctoral work at Duke University and a position at Michigan State University. He has received grants from NSF, DARPA, and the NSF CAREER Award. Current projects include topological approaches to neuroscience, medical diagnostics, and geometric data analysis. Perea leads the development of open-source TDA tools and collaborates on applications in engineering and healthcare.
Awards: NSF CAREER Award (2020). Research spans theoretical TDA, algorithm design, and interdisciplinary applications. He advises students in computational mathematics and computer science.
