Paul W. Bernhardt

Associate Professor of Statistics

Department of Mathematics and Statistics
Villanova University
SAC 323, 800 Lancaster Avenue
Villanova, PA 19085 USA


e-mail: paul.bernhardt@villanova.edu

Education and Academic Appointments

2019 - :          Associate Professor of Statistics at Villanova University
2019 - :          Director of the Master in Applied Statistics Program at Villanova University
2013 - 2019:  Assistant Professor of Statistics at Villanova University
2013:             Ph.D., Statistics, North Carolina State University (Advisors: Huixia Judy Wang, Daowen Zhang)
2010:             M.S., Statistics, North Carolina State University.
2008:             B.A., Mathematics with Teaching Certificate, Minor in Statistics, Messiah College.

Research Activity

My research thusfar has mainly focused on statistical modeling when covariates are subject to censoring, specifically due to detection limits, missing data, and in biostatistical applications. I have developed multiple methods for fitting generalized linear models, survival models, and joint models when some covariates are subject to detection limits and possibly longitundinal in nature.

Research Interests: Censored Data, Missing Data, Biostatistics, Joint Modeling, Statistics Education

CV
Publications
Presentations

Teaching Activity

Undergraduate

Intro to Statistics (STAT 1230): Fall 2014, 2017-2019; Spring 2016, 2017, 2019

Stat Methods (STAT 4310): Fall 2013, 2015, 2020; Spring 2014, 2015, 2022

Regression in Biostatistics (STAT 4450): Fall 2021; Spring 2018, 2020

Data Science (STAT 4380): Spring 2021

Math Statistics (STAT 5700): Fall 2017

 

Graduate

Statistical Methods (STAT 7404): Fall 2013-2015, 2018, 2019

Statistical Programming (STAT 7500): Spring 2022

Categorical Data Analysis (STAT 8414): Fall 2021; Spring 2014, 2016, 2018, 2020

Survival Data Analysis (STAT 8406): Summer 2016, 2018

Longitudinal Data Analysis (STAT 8450): Fall 2020; Spring 2015, 2017, 2019


About Me

I am an Asociate Professor of Statistics at Villanova University in the Mathematics and Statistics Department. I completed a Ph.D. in statistics at North Carolina State University in 2013. I now reside in Plymouth Meeting, PA near Norristown, and I grew up not far away in Lancaster, PA. I lived in Raleigh, NC during graduate school.

I am delighted to be a professor at Villanova for a variety of reasons. First and foremost, I enjoy teaching statistics to others and inspiring others to learn. I have known for many years that my passions lies in education, and Villanova is a place that truly emphasizes high-quality teaching. I am also enjoy the opportunity to work on research, both in statistical methodology and in biostatistics applications.

I have been married for about 14 years to my wonderful wife Tawny. She is also from the Lancaster area originally, growing up about 5 minutes away from my family. We recently had an adorable baby girl, Naomi Grace.

I have a wide variety of interests. As a native Eastern Pennsylvanian, I am a huge fan of the Phillies, Eagles, Sixers, and Flyers (in that order), though my wife unfortunately prefers the Steelers. I enjoy watching or playing just about any sport. At one time or another, I have participated in the following sports for either a recreational (r) or school team (s): cross country (s), track and field (distance running, s), tennis (s), volleyball (s), baseball (r), softball (r), basketball (r), and bowling (r). I also play golf and disc golf occasionally, though I am mediocre at both. I once won a ping-pong tournament due to a lack of competition and, if pressured (or not), I'll shoot pool or throw darts. Other than sports, I enjoy playing the piano. I took lessons for ten years, but now just play recreationally. When I get the chance, I like to take hikes, and since that can get boring I often look for birds and other wildlife.  Check out some of my amateur bird pictures here. Of course, while I like to stay busy, occasionally I enjoy sitting back and watching episodes of some of my favorite TV shows such as The Walking Dead, Survivor, Big Bang Theory, and Law and Order: SVU.