Mathematical Biosciences Workshop

August 8-9, 2024

Penn State University, University Park, PA 


In recent years, the biological sciences have witnessed remarkable advancements, particularly in combating human diseases such as cancer, degenerative disorders, autoimmune conditions, and infectious diseases. Concurrently, our understanding of fundamental biological processes, including cell locomotion, metabolism, decision-making within the cell cycle, pattern formation in developmental biology, and biochemical homeostasis, has continued to progress.


As we strive to translate basic scientific knowledge into practical applications to enhance our quality of life, the proliferation of experimental findings has underscored the immense complexity we face. Mathematical modeling has emerged as a pivotal tool, allowing researchers to explore the intricate interconnections of complex regulatory processes and comprehend how disrupting these connections can lead to disease. Moreover, models serve as invaluable instruments for formulating testable hypotheses, optimizing experimental design, and reconciling disparate results.


This workshop aims to bring together leading researchers in mathematical biosciences, as well as researchers from various career stages, spotlighting disciplines such as epidemiology, mathematical medicine, computational modeling, and systems biology. Through their presentations and discussions, attendees will gain insights into cutting-edge approaches and foster collaborations aimed at addressing pressing challenges in biomedical research. 

Plenary Speakers 

Abba B. Gumel, University of Maryland

Yoichiro Mori,  University of Pennsylvania 

Jonathan Rubin, University of Pittsburgh 

Joe Tien, Ohio State University

Guowei Wei, Michigan State University

Invited Speakers 

Janet Best, Ohio State University

Veronica Ciocanel, Duke University

Duan Chen, University of North Carolina at Charlotte

Harsh Jain, University of Minnesota Duluth 

Hye-Won Kang, University of Maryland at Baltimore County

David Koslicki, Penn State University

Adrian Lam, Ohio State University

Jay Newby, University of Alberta

Katarzyna A. Rejniak, Moffitt Cancer Center & Research Institute

Yangyang Wang, Brandeis University

Organizing Committee 

Leonid Berlyand, Penn State 

Wenrui Hao, Penn State

Harsh Jain, University of Minnesota Duluth

Grzegorz Rempala, Ohio State University

Yangyang Wang, Brandeis University

Jinchao Xu, Penn State

Registration 

Registration is now closed. If you are interested in attending the workshop, please contact the organizers. 

Travel and accommodation information 

The local airport in State College is the University Park Airport (SCE). It is approximately five miles from campus. 

You may travel to the following nearby airport and drive to Penn State

For accommodation information, please visit the following nearby hotels

Hyatt Place State College

Scholar Hotel State College

The Penn Stater Hotel 

Talks will be held on room 110 of Business Building. Click this link for a campus map.  You may park your car in East Parking Deck Garage

A key part of this workshop is to foster mentoring relationships across career stages and to expose early-career researchers and under-represented groups to new research opportunities. All junior researchers attending the workshop will have the opportunity to present their research in a poster session.

Inclusiveness:

The organizers of this conference are committed fostering a welcome and inclusive environment.  We will not tolerate discrimination based on race, color, religion, national origin, sex (including gender identity, sexual orientation, and pregnancy), age, disability, genetic information or parental status. We invite participants to ask for necessary accommodations to ensure they can participate fully in the conference (for example, microphones for speakers, a lactation room, or a list of local child care providers).  

We thank the following organizations for supporting this conference:

This conference is supported by funding from the National Science Foundation (Award ID 2310816).