Roman Kouznetsov is a PhD Candidate in Statistics at the University of Michigan - Ann Arbor. His research interests include Bayesian inference, large scale computational biology, and spatial inference. He is a part of Dr. Jeffrey Regier’s Probabilistic Machine Learning Research Group.
PhD Candidate in Statistics
University of Michigan
MA in Statistics
University of Michigan
BS in Statistics, Economics, Actuarial Science Concentration
Case Western Reserve University
Hi there! I’m Roman. I love all things data, statistics, artificial intelligence, and software engineering.
I am a researcher and developer that thrives on making utilitarian products for niche demographics.
As a researcher, my work is relevant to computational biologists, bioinformaticians, biostatisticians, genomics researchers, and anyone with an interest in spatial groupings and spatial mathematics.
As a developer, my work has helped automate IT ticket assignments, evaluate worker optimizations, answer tech setup questions with AI in 26 languages, and eliminate hallucinations in LLM by implementing novel agentic workflows.