Vasileios (Bill) Katsianos

Lecturer · Department of Statistics & Data Science · Washington University in St. Louis
Jolley Hall, Office 540 · 1 Brookings Dr · St. Louis, MO 63130
katsianos@wustl.edu
I am currently working as a lecturer in the department of Statistics and Data Science at the Washington University in St. Louis. I am interested in teaching a wide variety of courses which reflect my broad educational background. Namely, I am passionate about designing and teaching courses in the fields of statistics, data science, machine learning, stochastic models, optimization, probability and applied mathematics at an introductory undergraduate, advanced undergraduate or introductory graduate level.
My primary field of research lies in statistical genetics with a focus on developing novel statistical methods for the association analysis of infectious disease phenotypes jointly influenced by a pair of interacting organisms. My other research interests include multiple testing with dependence, graphical models, Markov Chain Monte Carlo methods, time series analysis and model-based clustering.
I have obtained a bachelor’s degree in Applied Mathematics from the National & Kapodistrian University of Athens, a master's degree in Statistics & Operations Research from the National & Kapodistrian University of Athens and a doctoral degree in Statistics from the University of Chicago. Working with students over the years as a lab instructor, a teaching assistant, a student consultant and a lecturer has infused me with a passion for introducing new generations of students to the field of statistics and providing statistical assistance to researchers in a variety of fields.

Teaching Materials

Title Description Status
Mathematical Statistics Suitable for an introductory or advanced course in statistical theory. Final Version
Simulation Suitable for a hands-on introductory or advanced simulation course. Final Version
Bayesian Statistics Tutorial Suitable for a hands-on introductory or advanced course in Bayesian inference. Final Version
Hidden Markov Models Tutorial Suitable for an advanced course in applied statistical methods, computational statistics, model-based clustering or time series analysis. Final Version
Linear Models Suitable for an introductory or advanced course in statistical methods. In Greek · Pending Translation
Introductory Applied Statistics Tutorial Suitable for an introductory course in applied statistical methods. In Progress
Advanced Applied Statistics Tutorial Suitable for an advanced course in applied statistical methods. In Progress
Linear Algebra for Statistics Suitable for an applied linear algebra or multivariate distribution theory bootcamp. In Progress
Generalized Linear Models Tutorial Suitable for an inctroductory course in categorical data analysis. Planned for the Future
Multivariate Data Analysis Tutorial Suitable for an introductory course in multivariate statistical analysis. Planned for the Future
Statistical Genetics Tutorial Suitable for an inctroductory course in statistical genetics. Planned for the Future

Work Experience

Lecturer

Department of Statistics & Data Science · Washington University in St. Louis
August 2024 - Present

Graduate Teaching Assistant

Department of Statistics · University of Chicago
January 2020 - June 2024

Graduate Student Consultant

Statistics Consulting Program · University of Chicago
October 2019 - December 2023

Graduate Laboratory Instructor

Department of Mathematics · National & Kapodistrian University of Athens
October 2016 - December 2020

Research Projects

Joint Association Analysis of Abundances for a Pair of X. Arboricola Strains Co-Infecting an A. Thaliana Line
September 2023 - Present
Joint Association Analysis of Hepatitis C Pretreatment Viral Load Using Both Human and Viral Genomes
October 2021 - Present

Invited Talks


Awards & Scholarships


Skills

Programming Languages & Tools
Analytical & Communication Skills