Research with Reach

The ability to utilize massive and complex data effectively and fairly is key to the advancement of science and society. Within our vibrant research community, we develop novel statistical theory and methods that influence the direction and understanding of science at all levels.

Diverse Research Areas

From neurons to nebula, our faculty advance the progression and understanding of science and information.
Here, you can learn about our diverse research topics and the faculty that drive these areas forward.

Environmental
Machine Learning
Biostatistics
Social
Genetics
Health
Economics
Astrophysics
COVID-19

Centers and Institutes

Interdisciplinary research and community service are at the heart of Research at Penn State.
Our centers and institutes impact science at universities and in industries around the globe.

Research Highlights

Our research highlights showcase the groundbreaking work executed by our own statistics and data science experts.
The work featured here addresses some of the most challenging issues facing society and science today.

Professor Nicole Lazar

Moving to a World Beyond “p < 0.05”

Nicole Lazar looks at one of the traditional aspects - "statistical significance" - and how to move away from it.

Jia Li

New Challenges for Big Data Clustering

New Challenges for Big Data Clustering in Machine Learning

Runze Li

Emotional dependency on smoking-vaping combo differs from just smoking

Researchers have known that emotions play a critical, but complex role in shaping dependency on smoking and vaping

Francesca Chiaromonte

Connecting the dots

Using curves to analyze multifaceted data may hold the key to understanding childhood obesity.

Penn State Statistics COVID-19 Research

Doctors and researchers around the globe have been working tirelessly to understand the COVID-19 virus. Our faculty are no exception.

Mosuk Chow

Measuring Local Impact of COVID-19

Mosuk Chow and Matthew Ferrari participated in the sample size planning part of a study that investigates the health, economic, educational and social effects of the COVID-19 pandemic in Centre County, PA.

Le Bao

Detecting Disease Outbreaks with Traveler Data

Statistics Associate Professor Le Bao and colleagues Ying Zhang and Xiaoyue Niu have published a paper discussing how traveler case reports could aid in a timely detection of a disease outbreak.

Student Research

Undergraduate and graduate students in Statistics are given opportunity to engage in active research projects as early as possible. Choose your research interest and get to work!