Yes

Analysis and design of multi-modal clinical and genomic risk scores for disease prediction using machine learning 

In partial fulfillment of the requirements for the degree of
Doctor of Philosophy in Bioinformatics
in the School of Biological Sciences

Expanding the Bioinformatics Toolbox for Diversity and Taxonomic Studies of Microbial Eukaryotic Pathogens
 

In partial fulfillment of the requirements for the degree of
Doctor of Philosophy in Bioinformatics
in the School of Biological Sciences

Matthew Hunter Seabolt
 
Defends his thesis:
EXPANDING THE BIOINFORMATICS TOOLBOX FOR DIVERSITY AND TAXONOMIC STUDIES OF MICROBIAL EUKARYOTIC PATHOGENS

Breanna Shi secured funding, co-organized, and instructed a Math and Computer Science symposium on the topic of "Introduction to Machine Learning."

Introduction to Machine Learning
April 22, 2023
Klaus 1447

A holistic approach to improving ovarian cancer detection and management

In partial fulfillment of the requirements for the degree of
Doctor of Philosophy in Bioinformatics
in the School of Biological Sciences

In partial fulfillment of the requirements for the degree of 
Doctor of Philosophy in Bioinformatics
in the School of Biological Sciences 

Juan C. Castro
 
Defends his thesis:
Probing genomic, metabolic, and phenotypic evolution in microbes using comparative and experimental evolution data

Thursday, January 12, 2023
10:00 AM Eastern Time
Marcus Nanotechnology Building Conference Room (room #1117-1118)
Zoom link: https://gatech.zoom.us/j/99028783106?pwd=RUpZd1RnWDFrMXUzdzhkaFJtR1I4Zz09
 
Thesis Advisor:
Dr. Sam P. Brown
School of Biological Sciences
Georgia Institute of Technology

Congratulations to Paramita Chatterjee from the Gibson lab for receiving one of three $1,000 Technologist Abstract Awards for submitting her abstract to the International Society for Cell & Gene Therapy 2023 Paris Annual Meeting.