Tim White

Statistics PhD candidate

University of Michigan

Hello!

I’m a PhD candidate in the Department of Statistics at the University of Michigan, where I am advised by Jeffrey Regier. I solve scientific problems with Monte Carlo methods, deep neural networks, or both! I also help teach courses about data mining, statistical modeling, and Bayesian inference.

Interests

• Simulation-based inference
• Sequential Monte Carlo
• Flow-based generative models
• Astrostatistics

Education

• Ph.D. in Statistics, 2022-Present

  University of Michigan

• M.A. in Statistics, 2022-2024

  University of Michigan

• B.S. in Statistical Science, 2018-2022

  University of Minnesota

Publications

Sequential Monte Carlo for detecting and deblending objects in astronomical images

Many of the objects imaged by the forthcoming generation of astronomical surveys will overlap visually. These objects are known as …

Tim White, Jeffrey Regier

PDF Cite Code

Estimating the lifetime risk of a false positive screening test result

False positive results in screening tests have potentially severe psychological, medical, and financial consequences for the recipient. …

Tim White, Sara Algeri

PDF Cite Code R Shiny

Talks and posters

Sequential Monte Carlo for probabilistic object detection in images

Bayesian Methods for Network and Image Analysis, 2024 Joint Statistical Meetings.

Aug 5, 2024 Portland, OR

Tim White, Jeffrey Regier

Sequential Monte Carlo for detecting and deblending objects in astronomical images

Workshop on Machine Learning and the Physical Sciences, NeurIPS 2023. Also presented at the 2024 U of M Department of Statistics Visit Day and the 2024 Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS).

Dec 15, 2023 New Orleans, LA

Tim White, Jeffrey Regier

Poster

Estimating the lifetime risk of a false positive screening test result

Student paper competition for ASA Section on Medical Devices and Diagnostics, 2022 Joint Statistical Meetings.

Aug 8, 2022 2:00 PM Washington, DC

Tim White, Sara Algeri

Slides

Projects

Sequential Monte Carlo for probabilistic cell detection in microscopy images

BIOSTAT 882 final project, University of Michigan.

Code

Waste-free sequential Monte Carlo for light source detection in astronomical images

STATS 608 final project, University of Michigan. With Jaylin Lowe.

Code

Forecasting the weather with deep learning

STATS 604 project #4, University of Michigan. With Jaylin Lowe and Gabriel Patron.

Code

Did machine learning reveal symbolism, emotionality, and imaginativeness as primary predictors of creativity?

STATS 604 project #3, University of Michigan. With Xuanyu Chen and Gabriel Patron.

Code

Analyzing mortality and its determinants among individuals with type 1 and type 2 diabetes

STATS 601 final project, University of Michigan.

PDF Code

MLBdash

R Shiny dashboard with projected MLB standings and team statistics dating back to 1998.

Code R Shiny

Teaching

DATASCI 451 - Bayesian Data Analysis

Department of Statistics, University of Michigan Aug 2024 – Apr 2025

DATASCI 415 - Data Mining and Statistical Learning

Department of Statistics, University of Michigan Jan 2024 – Apr 2024

STATS 401 - Applied Statistical Methods II

Department of Statistics, University of Michigan Aug 2023 – Dec 2023

STATS 306 - Introduction to Statistical Computing

Department of Statistics, University of Michigan Jan 2023 – Apr 2023

STATS 250 - Introduction to Statistics and Data Analysis

Department of Statistics, University of Michigan Aug 2022 – Dec 2022

Work experience

 

 

 

 

 

Research Assistant, IPUMS International

Minnesota Population Center

January 2019 – May 2022 Minneapolis, MN

 

 

 

 

 

Intern, Population and Development Branch

United Nations Population Fund (UNFPA)

September 2021 – March 2022 New York, NY (remote)