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 for meso-scale structures
  • Core-periphery structure
  • Influence maximization
• Bayesian inference
  • Priors for scale parameters in hierarchical models
  • Bayesian Optimization
• External and historical controls in clinical trials

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Research Links:
CV, Google Scholar

News:
11/24 - Congrats to my collaborator Brandon Feng on his first paper! Check it out here where we perform a mediation analysis of on the effects of heart failure using an extension of the R2D2 prior framework.
​9/24 - Check out my latest paper on arXiv, where we look at sub-sampling methods on networks.
8/24 - I received a KAKENHI start-up grant from JSPS!
5/24 - Our paper on the R2D2 prior for GLMs was recently published in The American Statistician!
5/24 - Our review paper on influence maximization in temporal networks was recently published in Applied Network Science!