Welcome

Welcome to QBioS.  The Interdisciplinary Graduate Program in Quantitative Biosciences (QBioS) at Georgia Tech was established in 2015, with our inaugural class of Ph.D. students joining us in Fall 2016. In fall 2024, we welcome our ninth cohort, with 40 active Ph.D. students and 25 alumni. QBioS has 60 participating program faculty representing six participating Schools within the College of Sciences. We welcome applications from students interested in innovative research on living systems building upon a foundation of rigorous and flexible training. The QBioS program will prepare a new generation of researchers for quantitative challenges, new discoveries, and fulfilling careers at the interface of the physical, mathematical, computational and biological sciences. Apply by December 1, 2024 to join the class of students entering the QBioS Ph.D. program in August 2025.     

News and Events

Farzaneh Najafi, assistant professor in the School of Biological Sciences at Georgia Tech, conducting research in her lab.

The School of Biological Sciences assistant professor has received several awards that will enable interdisciplinary research on the neural mechanisms of cognition.

Researchers launch a a lightweight, balloon-borne instrument to collect data. "To keep advancing, we need scientists who can determine what data we need, collect that data, and solve problems," Bracco says. (NOAA)

A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists might play.

Pictured left to right: Jeff Albert, Young-Hui Chang, Jenna Jordan, Christopher Muhlstein, and Kelly Ritter

Five Georgia Tech faculty members have been selected for the 2025 ACC Academic Leaders Network (ACC ALN) Fellows program.

Lipids can be powerful tools to help deliver drugs and treatments through their interactions with proteins. (Adobe Stock)

From helping develop immunotherapies to teaching students, a new open-access database called BioDolphin is providing fresh insights on lipid-protein interactions — a critical component of biochemical research.

Deep learning effectively predicts antibodies targeting distinct epitopes on the SARS-CoV-2 spike protein (gray, center).

Researchers combine deep learning with advanced sequencing techniques to predict how antibodies interact with antigens.

Joel Kostka

Professor Joel E. Kostka has been named a Union Fellow by the American Geophysical Union, joining a slate of 53 international researchers selected as 2024 AGU Fellows for “significant contributions to the Earth and space sciences.”  

Ryan Lowhorn Headshot

Congratulations to QBioS PhD student, Ryan Lowhorn, who was named as an NSF Graduate Research Fellowship Program recipient for 2024! 

Zachary Mobille

Congratulations to QBioS PhD Student, Zachary Mobille, who won a two-year Achievement Rewards for Academic Scientists (ARCS) Foundation award.