Dr. Borodovsky and his group develop machine learning algorithms for computational analysis of biological sequences: DNA, RNA and proteins. Our primary focus is on prediction of protein-coding genes and regulatory sites in genomic DNA. Probabilistic models play an important role in the algorithm framework, given the probabilistic nature of biological sequence evolution.

Sam Brown's lab studies the multi-scale dynamics of infectious disease. Their goal is to improve the treatment and control of infectious diseases through a multi-scale understanding of microbial interactions. Their approach is highly interdisciplinary, combining theory and experiment, evolution, ecology and molecular microbiology in order to understand and control the multi-scale dynamics of bacteria pathogens.

Kyle Allison is a bioengineer and chemical engineer whose research has focused on understanding the behavior of bacteria in order to improve antibiotics. The Allison Lab tracks individual bacteria using microscopy approaches they developed.  Kyle and his lab have made foundational discoveries in the metabolite potentiation of antibiotics, the resuscitation of persistent bacteria, and the multicellularity of E. coli (the best-studied unicellular organism).  Kyle was named to the first “30 under 30” list in Science by Forbes Magazine and received the NIH Director’s Early Independence Award to bypass traditional postdoctoral training. His research has been published in Nature, PNAS, Molecular Systems Biology, Nature Methods, Nature Chemical Biology, and other journals.  Kyle also holds a master’s degree in literature and wrote his thesis on James Joyce’s Finnegans Wake.

Amirali Aghazadeh is an Assistant Professor in the School of Electrical and Computer Engineering and also program faculty of Machine Learning, Bioinformatics, and Bioengineering Ph.D. programs. He has affiliations with the Institute for Data Engineering and Science (IDEAS) and Institute for Bioengineering and Biosciences. Before joining Georgia Tech, Aghazaeh was a postdoc at Stanford and UC Berkeley and completed his Ph.D. at Rice University. His research focuses on developing machine learning and deep learning solutions for protein and small molecular design and engineering.
 

Fedorov's background is in thermal/fluid sciences, chemical reaction engineering as well as in applied mathematics. His laboratory works at the intersection between mechanical and chemical engineering and solid state physics and analytical chemistry with the focus on portable/ distributed power generation with synergetic CO₂ capture; thermal management of high power dissipation devices and electronics cooling; special surfaces and nanostructured interfaces for catalysis, heat and moisture management; and development of novel bioanalytical instrumentation and chemical sensors. Fedorov joined Georgia Tech in 2000 as an assistant professor after finishing his postdoctoral work at Purdue University.

Lynn Kamerlin received her Master of Natural Sciences from the University of Birmingham (UK), in 2002, where she remained to complete a PhD in Theoretical Organic Chemistry under the supervision of Dr. John Wilkie (awarded 2005). Subsequently, she was a postdoctoral researcher in the labs of Stefan Boresch at the University of Vienna (2005-2007), Arieh Warshel at the University of Southern California (2007-2009, Research Associate at the University of Southern California in 2010) and Researcher with Fahmi Himo (2010). She is currently a Professor and Georgia Research Alliance – Vasser Wooley Chair of Molecular Design at Georgia Tech, a Professor of Structural Biology at Uppsala University, a Fellow of the Royal Society of Chemistry. She has also been a Wallenberg Scholar, the recipient of an ERC Starting Independent Researcher Grant (2012-2017) and the Chair of the Young Academy of Europe (YAE) in 2014-2015. Her non-scientific interests include languages (fluent in 5), amateur photography and playing the piano.

The Emanuel lab investigates how the sense of touch is generated in the mammalian brain by combining modern neurophysiology with mouse genetic manipulations. Dr. Emanuel joined Emory University School of Medicine in January 2023 as an Assistant Professor in the Department of Cell Biology. Before joining Emory, he completed his postdoc at Harvard Medical School during which he investigated the contributions of mechanoreceptor subtypes to the central representation of touch. Dr. Emanuel earned his Ph.D. from Harvard University by studying the biophysical properties of retinal ganglion cell photoreceptors.

Peter Kasson is an international leader in the study of biological membrane structure, dynamics, and fusion, with particular application to how viruses gain entry to cells. His group performs both high-level experimental and computational work – a powerful combination that is critical to advancing our understanding of this important problem. His publications describe inventive approaches to the measurement of viral fusion rates and characterization of fusion mechanisms, and to the modeling of large-scale biomolecular and lipid assemblies. He has applied these insights to the prediction of pandemic outbreaks and drug resistance, with particular attention to Zika, SARS-CoV-2, and influenza pathogens in recent years. See https://kassonlab.org/ for more information.

Overview:
Our brain not only processes sensory signals but also makes predictions about the world. Generating and updating predictions are essential for our survival in a rapidly changing environment. Multiple brain regions including the cerebellum and the cortex are thought to be involved in the processing of prediction signals (aka predictive processing). However, it is not clear what circuit mechanisms and computations underlie predictive processing in each region, and how the cortical and cerebellar prediction signals interact to support cognitive and sensorimotor behavior. Our lab is interested in figuring out these questions by using advanced experimental and computational techniques in systems neuroscience.