Takashi Owada

Takashi Owada is an Associate Professor in the Department of Statistics at Purdue University, with a courtesy appointment in the College of Science and Mathematics. His research bridges probability theory and topological data analysis, focusing on understanding the structure of complex stochastic systems through geometric and topological methods.

Education

• Ph.D., Operations Research (Applied Probability & Statistics concentration), Cornell University, 2013
• M.A., Economics, University of Tokyo, 2004
• B.A., Economics, University of Tokyo, 2002

Research Interests

Owada’s work lies at the intersection of extreme value theory, heavy-tailed processes, and random topology, with applications to topological data analysis and random geometric graphs. He investigates limit theorems, large deviation principles, and persistent homology in systems with hyperbolic geometry and long-range dependence. His research also extends to infinitely divisible processes and stable stochastic models in high-dimensional settings.

The trends in Owada’s recent work emphasize the interplay between algebraic topology and probability theory to analyze the structure of complex networks using topological invariants and geometric functionals. His studies often incorporate extreme-value behavior and heavy-tailed distributions in random simplicial complexes, hyperbolic graphs, and stochastic point processes.

Scientific Awards

• Regina and Norman F. Carroll (Col. USAF) Research Award, 2021, 2023
• Department of Statistics Outstanding Assistant Professor Teaching Award, 2021
• Excellent Research Paper Award, 2018
• Korean Mathematical Society Best Paper Award, 2018
• Institute of Mathematical Statistics (IMS) Travel Award, 2014

Grants and Teaching

Owada has secured significant funding, including the Air Force Office of Scientific Research (AFOSR) grant for studying complex stochastic networks (2022–2025) and a National Science Foundation (NSF) grant on Random Algebraic Topology (2018–2022). His teaching portfolio includes graduate and undergraduate courses such as Probability Theory, Elements of Stochastic Processes, and Basic Probability and Applications, reflecting his expertise in probability and stochastic modeling.