< BACK TO FACULTY
Daniel Kowal

Daniel Kowal

Associate Professor

Statistics

CONTACT

Maxfield Hall 210 | 713-348-4223 | daniel.kowal@rice.edu

WEBSITE(S)| Dr. Kowal's website

Dr. Kowal develops statistical methodology and algorithms for massive data sets with complex dependence structures, such as functional, time series, and spatial data. His recent work focuses on Bayesian models for prediction and inference, decision theory, discrete data analysis, and scalable approximations to complex models.

In Spring 2020, Dr. Kowal was named Dobelman Chair Assistant Professor.  In addition,  Dr. Kowal was selected for an ARO Young Investigator Award for his work on Optimal Bayesian Approximations for Targeted Prediction.

Research Areas

Environmental health and policy, wearable devices, economics and finance, biomedical engineering, and astronomy

Education

Ph.D. Statistics, Cornell University

M.S. Statistics, Cornell University

B.A. Mathematics, Washington University at St. Louis University

Teaching Areas

Bayesian Statistics

Linear Regression

Time Series

Statistical Computing

Probability and Statistics

Recent Patent Applications

"PCT/US2019/044051, (Rice) Tech ID: 2020-013; with Dr. Marina Vannucci and Shell. Title: Process for real time geological localization with Kalman filtering"

Societies & Organizations

American Statistical Association (ASA)

Institute of Mathematical Statistics (IMS)

International Society for Bayesian Analysis (ISBA)

Rice IBB

The Ken Kennedy Institute (Rice)

Honors & Awards

2021 Inaugural Winner, Blackwell-Rosenbluth Award from the International Society of Bayesian Anaysis (ISBA)

2020 nominee, ARO Young Investigator Award

2020 Dobelman Chair Assistant Professor

2018 Arnold Zellner Thesis Award in Econometrics and Statistics: Honorable Mention

2018 Business and Economic Statistics Section Student Paper Award: Dynamic Shrinkage Processes

2017 Nonparametric Statistics Section Student Paper Award: Functional autoregression for sparsely sampled data

2016 ASA Section on Bayesian Statistical Science Student Paper Award: “A Bayesian multivariate functional dynamic linear model”

2016 Cellular and Molecular Bioengineering Editors' Choice Award: “Probing the biophysical properties of primary breast tumor-derived fibroblasts”

2014 Benjamin Miller Research Fellowship, Industrial and Labor Relations School, Cornell University

Changes or additions to profiles.rice.edu will not take effect on the Rice sub-sites until after its next refresh which occurs at 5:15am, 10:15am, 1:15pm, 4:15pm and 7:15pm daily. (This does not affect profiles.rice.edu)