Arkady Shemyakin

Arkady Shemyakin is a Professor and Director of the Statistics Program at the University of St. Thomas, located in St. Paul, Minnesota. He holds a leadership role in the College of Arts and Sciences (CAS), focusing on Mathematics and Data Analytics. His academic career includes full-time teaching at Novosibirsk State University and visiting appointments at institutions like the University of Minnesota and Heriot-Watt University in Edinburgh, UK.

Dr. Shemyakin's research centers on Bayesian Statistics, copula analysis, and non-informative priors, with applications to Insurance, Finance, and Public Health. He has contributed to methodologies for modeling dependencies in financial markets, risk assessment in insurance, and pandemic-related mortality forecasting. His work often bridges theoretical advancements with practical industry solutions.

Shemyakin serves as President of the American Siberian Education Foundation and has previously led the Twin Cities chapter of the American Statistical Association. He actively contributes to academic publishing through editorial roles and peer review. Beyond academia, he enjoys chess, tennis, and skiing.

Recent research trends include copula-based models for mortality analysis (e.g., pandemic mortality patterns), Hellinger distance applications in Bayesian priors, and economic capital frameworks for insurance companies. His interdisciplinary approach addresses both theoretical challenges and real-world applications in risk management and data-driven decision-making.

No formal student advisement records are listed here. His professional service includes community-oriented educational projects and technology commercialization initiatives highlighted in his publications.

He is affiliated with the Mathematics department at St. Thomas and collaborates with the Statistics Program's academic and outreach teams. His work often intersects with the university's focus on liberal arts integration and data-driven disciplines.