Dr Konstantin Shestopaloff

Biography

I received my PhD in Biostatistics from the University of Toronto, Canada in 2017, specializing in methods for analysis of microbiome and ecological community data. Subsequently, I worked as a biostatistician in arthritis research, conducting analyses of metabolomic and miRNA signature data, and in population health, where I estimated temporal effects of polygenic risk scores in obesity. From 2020 to 2024 I was the Analytics Lead for the IL-17 project group within the Oxford-Novartis collaboration at the Big Data Institute, University of Oxford. I started as a Lecturer in the Medical Statistics Group within the School of Medicine, Medical Sciences and Nutrition in January 2024.

External Memberships

Visiting Researcher, Big Data Institute, University of Oxford, Oxford, United Kingdom

Adjunct Lecturer, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada

Research Overview

My research focus is on methods development with applications to clinical and biomedical data, particularly methods for addressing sparsity. Some of my previous work includes inference methods for rare species in microbiome data and total species estimators. I have also worked on using nested models for prediction in longitudinal data. My interests in applied statistics focus on biomarker detection using both standard inference methods and machine learning approaches. I've worked extensively in applying data mining for analysing a wide range of omics data and have expertise in statistical genetics.