Vinny is an Assistant Professor at Georgia Tech with joint appointments at the School of Chemistry and Biochemistry and School of Biological Sciences.

A majority of antibiotics and drugs that we use in the clinic are derived or inspired from small organic molecules called Natural Products that are produced by living organisms such as bacteria and plants. Natural Products are at the forefront of fighting the global epidemic of antibiotic resistant pathogens, and keeping the inventory of clinically applicable pharmaceuticals stocked up. Some Natural Products are also potent human toxins and pollutants, and we need to understand how these toxins are produced to minimize our and the environmental exposure to them.

We as biochemists ask some simple questions- how and why are Natural Products produced in Nature, what we can learn from Natural Product biosynthetic processes, and how we can exploit Nature's synthetic capabilities for interesting applications?

Broadly, we are interested in questions involving (meta)genomics, biochemistry, structural and mechanistic enzymology, mass spectrometry, analytical chemistry, and how natural product chemistry dictates biology.

Stefan France is an Associate Professor in the School of Chemistry and Biochemistry. Professor France earned his B.S. in Chemistry (2000) from Duke University and a M.A. (2003) and Ph.D. (2005) in Organic Chemistry from Johns Hopkins University. His research group focuses on experimental methodology development, natural product synthesis, and medicinal chemistry. Owing to Prof. France's avid interest in undergraduate research, his research group has mentored and trained more than 60 undergraduates (both Georgia Tech and non-Georgia Tech students). Professor France has been the recipient of several awards for his research, mentorship, and teaching including: the 2018 Georgia Tech-Georgia Power Professor of Excellence; the 2015 Georgia Tech Senior Faculty Outstanding Undergraduate Mentor Award; the 2014 Georgia Tech Faculty Award for Academic Outreach; the 2014 Georgia Tech Hesberg Teaching Award; the 2013 Georgia Tech Sigma Xi Young Faculty Award; the 2012 National Organization for the Professional Advancement for Black Chemists and Chemical Engineers (NOBCChE) Lloyd N. Ferguson Young Scientist Award; and the 2011 National Science Foundation (NSF) CAREER Award. He heads the Chemistry FAST Program, a NSF Research Experiences for Undergraduates (REU) Site, and also serves as Chair of the NSF Chemistry REU Leadership Group.

Dr. Medford is interested in leveraging materials informatics, statistics, and machine learning to maximize the practical impact of fundamental atomic-scale simulations in the field of surface science and catalysis. His research areas include heterogeneous catalysis, oxide surface chemistry, density functional theory, kinetic models, uncertainty quantification, and Bayesian optimization and inference.

Valerie Thomas is the Anderson-Interface Chair of Natural Systems and Professor in the H. Milton School of Industrial and Systems Engineering, with a joint appointment in the School of Public Policy. 

Dr. Thomas's research interests are energy and materials efficiency, sustainability, industrial ecology, technology assessment, international security, and science and technology policy. Current research projects include low carbon transportation fuels, carbon capture, building construction, and electricity system development. Dr. Thomas is a Fellow of the American Association for the Advancement of Science, and of the American Physical Society. She has been an American Physical Society Congressional Science Fellow, a Member of the U.S. EPA Science Advisory Board, and a Member of the USDA/DOE Biomass Research and Development Technical Advisory Committee. 

She has worked at Princeton University in the Princeton Environmental Institute and in the Center for Energy and Environmental Studies, and at Carnegie Mellon University in the Department of Engineering and Public Policy.

Dr. Thomas received a B. A. in physics from Swarthmore College and a Ph.D. in theoretical physics from Cornell University.

Kamran Paynabar is the Fouts Family Early Career Professor and Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his B.Sc. and M.Sc. in Industrial Engineering from Iran in 2002 and 2004, respectively, and his Ph.D. in Industrial and Operations Engineering from The University of Michigan in 2012. He also holds an M.A. in Statistics from The University of Michigan. His research interests comprise both applied and methodological aspects of machine-learning and statistical modeling integrated with engineering principles. He is a recipient of the INFORMS Data Mining Best Student Paper Award, the Best Application Paper Award from IIE Transactions, the Best QSR refereed paper from INFORMS, and the Best Paper Award from POMS. He has been recognized with the Georgia Tech campus level 2014 CETL/BP Junior Faculty Teaching Excellence Award and the Provost Teaching and Learning Fellowship. He served as the chair of QSR of INFORMS, and the president of QCRE of IISE.

George Lan is an A. Russell Chandler III Professor of Industrial and Systems Engineering at Georgia Institute of Technology.  His research and teaching interests lie in theory, algorithms and applications of stochastic optimization and nonlinear programming.  Most of his current research concerns the design of efficient algorithms for solving challenging optimization problems, especially those arising from data analytics, machine learning, and reinforcement learning. He is actively pursuing the applications of these methodologies in healthcare and sustainability areas. Dr. Lan serves as the associate editor for Computational Optimization and Applications (2014 – present), Mathematical Programming (2016 – present) and SIAM Journal on Optimization (2016  – present). Dr. Lan is an associate director for the center of machine learning at Georgia Tech.

Lily Cheung got her research start as a sophomore at Rutgers University, where she graduated Summa Cum Laude with a B.S. in Chemical Engineering in 2008. She then earned her Ph.D. in Chemical Engineering from Princeton University in 2013. Under the supervision of Stanislav Shvartsman, she characterized gene regulatory networks controlling the development of the model organism Drosophila melanogaster, using a combination of molecular biology, genetics, and reaction-diffusion modeling.

During her postdoctoral training with Wolf Frommer at the Carnegie Institution for Science, she designed biomolecular sensors to quantify sugar transport in plants. Her current interests include the use of high-throughput quantitative techniques and mathematical modeling to advance our understanding of how metabolic and gene regulatory networks interact to control plant growth.

Lily is the recipient of a NSF NPGI Postdoctoral Fellowship in Biology, a NSF CAREER Award, and a Human Frontier Science Program Early Career Award.

The Tong Lab tackles challenges in the interdisciplinary areas of bioresource engineering and sustainable chemistry. We develop innovative technologies for producing chemicals, materials, energy, and fuels from renewable resources.

Current research interests include:

• Functional biomaterials for high-efficiency circular economy
• Platform chemicals and hydrocarbon fuels from renewable resources
• Sustainable process control and modeling
• Nano-biomaterial synthesis and self-assembling
• Polymer degradation and recycling

Disciplines:

• Materials and Nanotechnology

• Energy and Sustainability