Bioinformatics Program Research Areas
What’s in a name? A lot, actually.
For the scientific community, names and labels…
Welcome
The mission of the Georgia Tech Bioinformatics Graduate Program is to educate and prepare students to reach the forefront of leadership in the fields of bioinformatics and computational biology, and to integrate research and education on the use of information technologies in biology and medicine. The program includes an interdisciplinary doctoral (PhD) program spanning a variety of academic departments at Georgia Tech and a Professional Science Masters (MS) program that prepares students for careers in Bioinformatics.
Welcome
Featured Alumnus
Congratulations to Lava Rishishwar (MSBINF 2012, PhD BINF 2016), and Jasreet Hundal (MSBINF 2009) who were named to the "40 under 40" class of 2023! Lava currently works as a Senior Technical Manager at Pillar Biosciences Incorporated. Jasreet is a Principal Project Lead/Senior Scientist at McDonnell Genome Institute.
Featured Students
Each year, the Georgia Tech Bioinformatics Graduate Program recognizes outstanding students at the PhD and MS levels. Each nominee was evaluated based on CV’s, transcripts, descriptions of their accomplishments, and letters of recommendation. An interdisciplinary committee of faculty members selected the winners. Please join us in congratulating the following two outstanding students!
News
From Parkinson’s and Alzheimer's to cardiac arrhythmia, amyloids are linked to a number of diseases. These…
For over three decades, a highly accurate early diagnostic test for ovarian cancer has eluded physicians. Now, scientists in the…
The advent of whole genome sequencing technology has prompted an explosion in research into how genetics are associated with disease…
Student News
The Bioinformatics interdisciplinary graduate program is pleased to report that our faculty selection committee has reviewed the nominations for J.…
Each year, the Georgia Tech Bioinformatics Graduate Program recognizes outstanding students at the PhD and MS levels. Each nominee was evaluated…
Computational analysis of gene expression in the teleost forebrain and the cellular basis of a social behavior
In partial fulfillment of…
In partial fulfillment of…
Analysis and design of multi-modal clinical and genomic risk scores for disease prediction using machine learning
In partial fulfillment of…