Welcome

Welcome to QBioS.  The Interdisciplinary Graduate Program in Quantitative Biosciences (QBioS) at Georgia Tech was established in 2015, our inaugural class of 9 Ph.D. students joined us in Fall 2016. In fall 2023, we welcome our eighth cohort, with 38 active Ph.D. students and 16 alumni. QBioS has more than 50 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, 2023 to join the class of students entering the QBioS Ph.D. program in August 2024.     

News and Events

Friday
September
27

Biophysical Drivers of Biofilm Structure: From Starvation to Cooperative Dynamics
Friday
September
27

Physical Simulations of Microbial Population Dynamics
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.

Annalisa Bracco

Annalisa Bracco, professor of ocean and climate dynamics, is analyzing how biological connections between coral reefs — sometimes extending over great distances — may help them recover from heat stress.
Microscopic image of biofilm on rock, Image Credit: NASA

A groundbreaking new study published in Nature Physics has revealed that geometry influences biofilm growth more than anything else, including the rate at which cells can reproduce. The research shows that the fitness of a biofilm is largely impacted by the contact angle that the biofilm’s edge makes with the substrate.

A woman wearing glasses and short sleeve pink sweater sit nexts to a commercial knitting machine.

The team used experiments and simulations to quantify and predict how knit fabric response can be programmed. By establishing a mathematical theory of knitted materials, the researchers hope that knitting — and textiles in general — can be incorporated into more engineering and manufacturing applications.