Saurabh Sinha received his Ph.D. in Computer Science from the University of Washington, Seattle, in 2002, and after post-doctoral work at the Rockefeller University with Eric Siggia, he joined the faculty of the University of Illinois, Urbana-Champaign, in 2005, where he held the positions of Founder Professor in Computer Science and Director of Computational Genomics in the Carl R. Woese Institute for Genomic Biology until 2022. He joined Georgia Institute of Technology in 2022, as Wallace H. Coulter Distinguished Chair in Biomedical Engineering, with joint appointments in Biomedical Engineering and Industrial & Systems Engineering. Sinha’s research is in the area of bioinformatics, with a focus on regulatory genomics and systems biology. Sinha is an NSF CAREER award recipient and has been funded by NIH, NSF and USDA. He co-directed an NIH BD2K Center of Excellence and was a thrust lead in the NSF AI Institute at UIUC. He led the educational program of the Mayo Clinic-University of Illinois Alliance, and co-led data science education for the Carle Illinois College of Medicine. Sinha has served as Program co-Chair of the annual RECOMB Regulatory and Systems Genomics conference and served on the Board of Directors for the International Society for Computational Biology (2018-2021). He was a recipient of the University Scholar award of the University of Illinois, and selected as a Fellow of the AIMBE in 2018.

Physiological and biomechanical mechanisms underlying fine motor skills and their adjustments and adaptations to heightened sympathetic nerve activity, aging or inactivity, space flight or microgravity, neuromuscular fatigue, divided attention, and practice in humans. He uses state-of-the-art techniques in neuroscience, physiology, and biomechanics (e.g., TMS, EEG, fMRI, single motor unit recordings, microneurography, mechanomyography, ultrasound elastography, and exoskeleton robot) in identifying these mechanisms.

Frank Rosenzweig is a Professor in School of Biological Sciences. He holds Bachelors degrees in Comparative Literature and Zoology from University of Tennessee-Knoxville, and a PhD in Biology at University of Pennsylvania. He carried out postdoctoral studies at the University of Michigan. He was a professor at University of Idaho, University of Florida, and University of Montana before joining the Georgia Tech faculty in 2016. He served as the Director of the NASA Astrobiology Institute funded center “Reliving the Past” from 2015 to 2019.  His research group studies the ecological and evolutionary forces that produce and preserve genetic variation using experimental evolution  to illuminate how genetic variation maps onto organismal fitness.

Metalloproteins constitute one of the largest classes of proteins in the proteome and are involved in virtually every metabolic and signaling pathway of consequence to human health and disease. Broadly speaking, the Reddi laboratory is interested in determining the cellular, molecular, and chemical mechanisms by which metalloproteins are activated by cells, and once activated, how they communicate with other biomolecules to promote normal metabolism and physiology, placing an emphasis on systems relevant to cancer, neurodegenerative disorders, and infectious diseases. Current projects in the lab are focused on elucidating heme trafficking pathways and the role of Cu/Zn Superoxide Dismutase (SOD1) in redox signaling. Prospective students will get broad training in disciplines that span modern biochemistry, bioinorganic chemistry, biophysics, chemical biology, molecular genetics, and cell biology.      

Felipe trained as a biomedical engineer in his native Colombia before obtaining a PhD from the Biomedical Engineering department of Duke University. At Duke, working in the laboratory of Ashutosh Chilkoti, he focused on the engineering of genetically-encoded, self-assembling protein polymers. An important outcome of this PhD work was the elucidation of sequence rules to program the phase separation behavior of intrinsically disordered proteins (IDPs). Motivated by a newly acquired ability to engineer the phase behavior of IDPs, for his postdoctoral work he turned to their poorly-understood biology. To pursue skin as an outstanding biological system, Felipe joined the group of Elaine Fuchs at Rockefeller University. Felipe’s postdoctoral research led to the discovery that liquid-liquid phase separation drives the process of skin barrier formation. In 2020, he established the Quiroz Lab in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, where he is currently an Assistant Professor. Felipe is the recipient of multiple research awards, including a Career Award at the Scientific Interface from the Burroughs Wellcome Fund and the NIH Director’s New Innovator Award.

The research focus of Boris Prilutsky's laboratory is Neural Control and Biomechanics of Movement. They study how the nervous system controls hundreds of muscles and kinematic degrees of freedom of the body to produce purposeful motor behaviors and how the neural control of motor behaviors is affected by neural and musculoskeletal injuries.

After studying ecology as a biology major at Swarthmore College, Annalise Paaby learned fly pushing as a technician for Steve DiNardo and then discovered evolutionary genetics as a tech for Paul Schmidt. She joined Paul’s lab as a graduate student and earned her Ph.D. from the University of Pennsylvania in 2009. In 2015, Paaby completed her postdoctoral training with Matt Rockman at New York University and began her appointment at Georgia Tech.

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.

Roman Mezencev is an adjunct associate professor in the School of Biological Sciences at Georgia Tech and a scientist at the U.S. EPA’s National Center of Public Health and Environmental Assessment. His areas of research interest include cancer biology, pharmacology, toxicogenomics, protein misfolding diseases, and public health. In cancer biology, his main research focuses on using omics data to identify new cancer subtypes through molecular profiling, which can help enhance their diagnosis and treatment. Additionally, Mezencev explores the use of omics data to predict and understand chemically-induced cancer and other adverse outcomes to protect public health. He is also investigating the intriguing epidemiological associations and mechanistic connections between cancer and Alzheimer’s disease (AD), as well as other protein-misfolding diseases. By understanding these associations, we can identify shared risk factors and molecular mechanisms that can lead to the development of new anti-cancer and anti-AD drugs and enhance our understanding of these complex diseases.