Investigating how viruses transform human health and the fate of our planet.
Investigating how viruses transform human health and the fate of our planet.
Investigating how viruses transform human health and the fate of our planet.
Congratulations to Quantitative Biosciences Ph.D. student and Weitz Group member Siya Xie for joining the NIH T32 Integrative and Quantitative Biosciences Accelerated Training Environment (InQuBATE). As an affiliated scholar, Siya will participate in InQuBATE’s training workshops and events, learning how to “develop a mechanistic understanding of integrative living systems spanning molecules, cells, to populations.” Learn more […]
Recent Quantitative Biosciences Ph.D. graduate and former Weitz Group member Daniel Muratore is set to begin the Omidyar Postdoctoral Fellowship at the Santa Fe Institute (SFI) this September. As an Omidyar Fellow, Murature will have the opportunity to complete an up to three-year residency at SFI, where they will “contribute to the Institute’s research, advance the […]
On June 9th, 2022, Daniel Muratore successfully defended his dissertation entitled “Emergence of Marine Biogeochemical Dynamics Across Scales Drive by Complex Microbial and Viral Communities,’’ earning his Ph.D. in quantitative biosciences. Congratulations, Daniel! To learn more about Daniel’s dissertation, read the abstract below. Marine microbial populations are subject to the dual pressures of bottom-up nutrient limitation […]
Esther Gallmeier, an undergraduate in the School of Mathematics and a Weitz Group member since fall 2021, is set to graduate tomorrow. Mentored by postdoctoral researcher Jeremy Harris, Gallmeier has spent her time in the Group conducting theoretical modeling research on the effects of correlations between population susceptibility and transmissibility on epidemic dynamics. This fall, […]
On November 18th, 2021, Ashley Coenen successfully defended her dissertation entitled “Inferring ecological interactions from dynamics in phage-bacteria communities,’’ earning her Ph.D. in physics. To learn more about Ashley’s dissertation, read the abstract below. Characterizing how viruses interact with microbial hosts is critical to understanding microbial community structure and function. However, existing methods for quantifying bacteria-phage […]
On October 19th, 2021, Marian Dominguez-Mirazo successfully defended her thesis proposal entitled “Cell fate modulation from infection to population dynamics’’ and was officially admitted for her Ph.D. candidacy. To learn more about Marian’s thesis work, read the abstract below. Viruses are obligate parasites that require their host’s synthesis machinery to replicate. Viruses are the most abundant […]
Quantitative Biosciences Ph.D. students Marian Dominguez-Mirazo and Rogelio Rodriguez-Gonzalez have been awarded fellowships by Consejo Nacional de Ciencia y Tecnología (CONACYT), the Mexican National Council of Science and Technology, for their thesis research. These fellowships will provide Dominguez-Mirazo and Rodriguez-Gonzalez partial scholarships to continue their graduate research at Georgia Tech. “The nice part about [writing […]
Prof. Weitz and Associate Professor in the Coulter Department of Biomedical Engineering Peng Qiu recently received a five-year, $1.27 million grant from the National Institutes of Health (NIH) to establish a new training program. The $1.27 million T32 training grant will create the Integrative and Quantitative Biosciences Accelerated Training Environment (InQuBATE) Predoctoral Training Program at Georgia Tech, […]
Guanlin Li successfully defended his dissertation today, entitled “Optimization and control of virus-host systems.” Congratulations to the newest Ph.D. in the Georgia Tech School of Physics, Dr. Guanlin Li. To learn more about Guanlin, read his student feature.
Shashwat Shivam successfully passed his thesis proposal, entitled “Endogenous and exogenous control of virus-host dynamics,” and was admitted into PhD candidacy. Congratulations to the newest PhD candidate in Georgia Tech’s College of Electrical and Computer Engineering.