☕️About Me
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.
- Artificial Intelligence
- Bayesian Statistical Inference
- Computational Biology
- Spatial Inference
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.
