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Takashi Owada is an Associate Professor in the Department of Statistics at Purdue University, with a courtesy appointment in the Department of Mathematics. He earned his Ph.D. in Operations Research with a concentration in Applied Probability and Statistics from Cornell University in 2013. His research interests encompass various advanced topics such as Extreme Value Theory, Heavy Tail Probability, Hyperbolic Geometry, Infinite Ergodic Theory, and Infinitely Divisible Processes. He has also delved into areas such as Long Range Dependence, Persistent Homology, Random Graph Theory, Random Topology, Stable Processes, and Topological Data Analysis. Throughout his academic career, Takashi has made significant contributions to the field, evidenced by numerous accolades, including the Department of Statistics Outstanding Assistant Professor Undergraduate Teaching Award in 2021 and the Excellent Research Paper Award in 2018. His work focuses on both theoretical aspects and practical applications, striving to advance the understanding of complex statistical phenomena.
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