Alex Endert is an Associate Professor in the School of Interactive Computing at Georgia Tech. He directs the Visual Analytics Lab, where he works with his students to design and study how interactive visual tools help people make sense of data and AI. His lab often tests these advances in domains, including intelligence analysis, cyber security, decision-making, manufacturing safety, and others. His lab receives generous support from sponsors, including NSF, DOD, DHS, DARPA, DOE, and industry. In 2018, he received a CAREER award from the National Science Foundation for his work on visual analytics by demonstration. He received his Ph.D. in Computer Science from Virginia Tech in 2012. In 2013, his work on Semantic Interaction was awarded the IEEE VGTC VPG Pioneers Group Doctoral Dissertation Award, and the Virginia Tech Computer Science Best Dissertation Award.

Dyer’s research interests lie at the intersection of machine learning, optimization, and neuroscience. Her lab develops computational methods for discovering principles that govern the organization and structure of the brain, as well as methods for integrating multi-modal datasets to reveal the link between neural structure and function.

Dr. Duke has led over $21 million in funded research for industry, government, and foundation partners. Dr. Duke’s research focuses on advancing techniques for identifying patients of interest from diverse data sources with applications spanning research, quality, and clinical domains. He led the Merck-Regenstrief Partnership in Healthcare Innovation and was a founding member of OHDSI, an open-source international health data analytics collaborative. In addition to numerous peer-reviewed publications, his work has been featured in the lay media including the New York Times, NPR, and MSNBC. Dr. Duke completed his medical degree at Harvard Medical School and a master's in human-computer interaction at Indiana University.

Aaron Drysdale, a Master of Computer Science graduate from Georgia Tech, is the Chief Technologist at the Cloud Hub. He manages the proposal process for research grants, organizes industry training sessions, and provides direct technical support to research teams utilizing cloud resources. Aaron's role also involves collaborating with Microsoft’s technical teams to resolve complex issues, ensuring seamless and efficient research progress. His expertise and proactive approach are vital to the success of the Cloud Hub's mission to advance innovative research.

Dr. Duarte is excited to join the Department of Psychology at U.T. Austin starting in Fall, 2021 after 13 years as a professor at The Georgia Institute of Technology. Dr. Duarte received her Ph.D. in Neurobiology from U.C. Berkeley in 2004 and conducted her postdoctoral work in cognitive neuroscience at the Medical Research Council in Cambridge, UK. Dr. Duarte is a cognitive neuroscientist who uses multiple, complementary neuroscience methods including electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and neuropsychological methods (i.e. neurological patients), to understand the neural mechanisms of age-related changes in episodic memory, which is memory for personally experienced events. The major aim of her research program is to understand the neural changes that underlie age-related decline in episodic memory, why some people age better, from a neural and cognitive perspective, than others, and to develop and implement effective interventions to alleviate this decline. She has longstanding and active interdisciplinary collaborations with neurologists, neuropsychologists, and sleep disorder clinicians, and with mechanical engineers, to investigate experimental manipulations that may ameliorate episodic memory impairments in people with Alzheimer’s disease pathology, and to explore sleep-related biomarkers of Alzheimer’s pathology. She has a particular interest in the cognitive neuroscience of aging in racial/ethnic minorities and the psychosocial factors like race-related stress, depression, and acculturation that influence memory and underlying brain function in diverse populations. Her lab's work has been featured in the Huffington Post, Science Daily, and Ozy. 

Dr. Dickson is the Vassar Woolley Professor of Chemistry & Biochemistry and has been at Georgia Tech since 1998. He was a Senior Editor of The Journal of Physical Chemistry from 2010-2021, and his research has been continuously funded (primarily from NIH) since 2000. Dr. Dickson has developed quantitative bio imaging and signal recovery/modulation schemes for improved imaging of biological processes and detection of medical pathologies. His work on fluorescent molecule development and photoswitching of green fluorescent proteins was recognized as a key paper for W.E. Moerner’s 2014 Nobel Prize in Chemistry. Recently, Dr. Dickson’s lab has developed rapid susceptibility testing of bacteria causing blood stream infections. Their rapid recovery methods, coupled with rigorous multidimensional statistics and machine learning have led to very simple, highly accurate and fast methods for determining the appropriate treatment within a few hours after positive blood cultures. These hold significant potential for drastically improving patient outcomes and reducing the proliferation of antimicrobial resistance.

Santanu S. Dey is A. Russell Chandler III Professor and associate chair of graduate studies in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Dey holds a Ph.D. in Industrial Engineering from Purdue University. Prior to joining Georgia Tech, he worked as a post-doctoral fellow at the Center for Operations Research and Econometrics (CORE) of the Catholic University of Louvain in Belgium. 

Dr. Dey's research interests are in the area of non convex optimization, and in particular mixed integer linear and nonlinear programming. His research is partly motivated by applications of non convex optimization arising in areas such as electrical power engineering, process engineering, civil engineering, logistics, and statistics. Dr. Dey has served as the vice chair for Integer Programming for INFORMS Optimization Society (2011-2013) and has served on the program committees of Mixed Integer Programming Workshop 2013 and Integer Programming and Combinatorial Optimization 2017, 2020. He currently serves on the editorial board of Computational Optimization and Applications, MOS-SIAM book series on Optimization, is an associate editor for Mathematics of Operations Research, Mathematical Programming A, and SIAM Journal on Optimization. He has been as associate editor for INFORMS Journal on Computing and an area editor for Mathematical Programming C.

Dr. Deo came to Georgia Tech in August 2007 as an Assistant Professor of Nuclear and Radiological Engineering. Prior, he was a postdoctoral research associate in the Materials Science and Technology Division of the Los Alamos National Laboratory. He studied radiation effects in structural materials (iron and ferritic steels) and nuclear fuels (uranium dioxide). He also obtained research experience at Princeton University (Mechanical Engineering), Lawrence Livermore National Laboratory, and Sandia National Laboratories.