ERIC YANCHENKO
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Akita International University
Global Connectivity Program
Office: A 3-5
email: eyanchenko [at] aiu [dot] ac [dot] jp

Welcome to my webpage! My name is Eric Yanchenko and I am an Assistant Professor (tenure-track) of AI and Data Science in the Global Connectivity Program at Akita International University in Akita, Japan. In 2023, I completed my PhD in statistics at North Carolina State University where I was advised by Brian Reich and Srijan Sengupta. Previously, I was on a pre-doctoral JSPS short-term fellowship at Tokyo Institute of Technology in Japan working with Petter Holme and Tsuyoshi Murata.

My current research interests are in:
  • Networks
    • Hypothesis testing and model selection
    • Core-periphery structure
    • Influence maximization
  • Bayesian inference
    • Priors for scale parameters in hierarchical models
    • Bayesian Optimization​​
Research Links:
CV, Google Scholar

If you are a PhD student or recent PhD graduate and are interested in spending one-year in Japan doing research, please contact me.

News:
7/26 - Very excited about my latest work with Jon Williams and Ryan Martin where we develop a Universal Inference framework for model selection on networks!
6/26 - Joint work with Jon Williams and Ryan Martin has been published in Network Science! This was our first foray into using e-values for testing on networks with hopefully lots more exciting work to follow.
3/26 - Joint work with Srijan Sengupta was just published in Network Science! We propose a fast and accurate algorithm to detect core-periphery structure in networks.
1/26 - My work with Kaoru Irie and Shonosuke Sugasawa on the grouped R2D2 prior was just published at Statistics and Computing!
11/25 - I'm very excited to be visiting Aki Vehtari and David Kohns at Aalto University in January 2026! And big thanks to Aalto for funding!
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