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.

C. F. Jeff Wu is the Coca-Cola Chair in Engineering Statistics and Professor in the H. Milton School of Industrial and Systems Engineering at Georgia Tech.

He was elected a Member of the National Academy of Engineering (2004), and a Member (Academician) of Academia Sinica (2000). A Fellow of the Institute of Mathematical Statistics (1984), the American Statistical Association (1985), the American Society for Quality (2002), and the Institute for Operations Research and Management Sciences (2009). He received the COPSS (Committee of Presidents of Statistical Societies) Presidents' Award in 1987, which was given to the best researcher under the age of 40 per year and was commissioned by five statistical societies. His other major awards include the 2011 COPSS Fisher Lecture, the 2012 Deming Lecture (plenary lectures during the annual Joint Statistical Meetings), the Shewhart Medal (2008) from ASQ, and the Pan Wenyuan Technology Award (2008). In 2016 he received the (inaugural) Akaike Memorial Lecture Award. In 2017 he received the George Box Medal from ENBIS. In 2020 he won The Class of 1934 Distinguished Professor Award and the Sigma Xi Monie A. Ferst Award both at Georgia Institute of Technology. He has won numerous other awards, including the Wilcoxon Prize, the Brumbaugh Award (twice), the Jack Youden Prize (twice), and the Honoree of the 2008 Quality and Productivity Research Conference. He was the 1998 P. C. Mahalanobis Memorial Lecturer at the Indian Statistical Institutes and an Einstein Visiting Professor at the Chinese Academy of Sciences (CAS). He is an Honorary Professor at several institutions, including the CAS and National Tsinghua University. He received an honorary doctor (honoris causa) of mathematics at the University of Waterloo in 2008.

He was formerly the H. C. Carver Professor of Statistics and Professor of Industrial and Operations Engineering at the University of Michigan, 1993-2003 and the GM/NSERC Chair in Quality and Productivity at the University of Waterloo in 1988-1993. In his 1997 inaugural lecture for the Carver Chair, he coined the term data science and advocated that statistics be renamed data science and statistician to data scientist. Before Waterloo, he taught in the Statistics Department at the University of Wisconsin from 1977-1988. He got his BS in Mathematics from National Taiwan University in 1971 and Ph.D. in Statistics from the University of California, Berkeley (1973-1976).

His work is widely cited in professional journals as well as in magazines, including a feature article about his work in Canadian Business and a special issue of Newsweek on quality. He has served as editor or associate editor for several major statistical journals like Annals of Statistics, Journal of American Statistical Association, Technometrics, and Statistica Sinica. Professor Wu has published more than 185 research articles in peer review journals. He has supervised 50 Ph.D.'s, out of which more than 25 are teaching in major research departments or institutions in statistics, engineering, or business in US/Canada/Asia/Europe. Among them, there are 21 Fellows of ASA, IMS, ASQ, IAQ and IIE, three editors of Technometrics, and one editor of JQT. He co-authors with Mike Hamada the book "Experiments: Planning, Analysis, and Optimization" (Wiley, 2nd Ed, 2009, 716 pages) and with R. Mukerjee the book "A Modern Theory of Factorial Designs" (Springer, 2006).

Seung-Joon Paik received his B.S. degree at the School of Electrical Engineering in 1999 and the M.S. and Ph.D. degrees at the Electrical Engineering and Computer Science from Seoul National University, Seoul, Korea, in 2001 and 2005, respectively. His doctorate research focused on the design, microfabrication and testing of silicon microneedles for neurophysiologic applications, including microfluidic channels and microelectrodes. He was with Automation and Systems Research Institute in Seoul National University, as a postdoctoral associate from 2005 to 2007, where he developed sensors and systems of Inertial Measurement Unit (IMU) for localization and locomotion of robots. After joining a spin-off company from the research lab, SML Electronics, Inc., in 2007, he led the process team for the 8-inch wafer-level packaging process and foundry manufacturing process of MEMS accelerometers and gyroscopes for mobile applications as a senior research engineer. In 2008, he joined the MicroSensors and MicroActuators Laboratory (MSMA Lab.) in Georgia Institute of Technology, Atlanta, Georgia. He has led the BioMEMS research group at the MSMA Lab as a postdoctoral fellow. The BioMEMS research group is dedicated to developing micro/nano needles and biosensors for drug delivery and electrochemical sensing. In 2013, as a research engineer II at the Institute for Electronics and Nanotechnology (IEN) in Georgia Tech, he oversees and coordinates lab sections for College of Engineering courses within IEN which provides instructions to students about CMOS transistor fabrication and MEMS fabrication. He has been teaching and mentoring junior-level research engineers and graduate students on design, analysis, micromachining processes, and technical writing and presentation at Seoul National University, SML Electronics, and Georgia Institute of Technology. In 2014, he also worked in Southern Polytechnic State University (currently, Kennesaw State University) as an adjunct professor and taught a course of Microelectronic Engineering and its labs.

He has published 65+ reviewed journal and conference papers, and invented 13+ patents in USA and Korea, and has been a reviewer for the following Journals – IEEE Journal of Microelectromechanical Systems (JMEMS); IOP Journals of Micromechanics and Microengineering, Nanotechnology, Material Science and Technology, Journal of Physics D, and Smart Materials and Structures; and Sensors and Actuators A: Physics. His current interests are in research and development for the micromachining of silicon and polymer materials and in biomedical applications of micromachined devices and also in inertial sensors, 3-D multi-chip packaging of MEMS devices, energy storage/conversion devices and nano-scale structures.

Mohan Srinivasarao is a Professor with the School of Materials Science and Engineering. Srinivasarao received his Ph.D. in Chemistry in 1990 from Carnegie Mellon University, a M.Sc in Applied Chemistry in 1981 from PSG College of Technology (University of Madras, India), and a B.Sc in Applied Science in 1979 from Madurai University, India.

Srinivasarao specializes in physical chemistry of polymers, physics of nematic liquid crystals, optics of liquid crystals, rheology/rheo-optics of polymeric fluids and liquid crystals, polymer/liquid crystal dispersions, various forms of light microscopy including confocal microscopy and photon tunneling microscopy, color science, and nano-optics in the biological world (color of butterfly wings, beetles, moths, and bird feathers).

Srinivasarao is a member os several professional organizations including the American Chemical Society, Materials Research Society, Optical Society of America, Society of Rheology, American Physical Society, and the American Association for the Advancement

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.

Mijin Kim is an assistant professor in the School of Chemistry and Biochemistry at Georgia Tech. Her research program is focused on the development and implementation of novel nanosensor technology to improve cancer research and diagnosis. The Kim Lab combines nanoscale engineering, fluorescence spectroscopy, machine learning approaches, and biochemical tools (1) to understand the exciton photophysics in low-dimensional nanomaterials, (2) to develop diagnostic/nano-omics sensor technology for early disease detection, and (3) to investigate biological processes with focusing problems in lysosome biology and autophagy. For her scientific innovation, Kim has received multiple recognitions, including being named as one of the STAT Wunderkinds and the MIT Technology Review Innovators Under 35 List.

Nate Damen is a Research Engineer I with Aerospace, Transportation and Advanced Systems Laboratory of Georgia Tech Research Institute. Damen’s work at ATAS has focused on Mixed Reality applications, robotics, the automation of CAR-T cellular expansions, and bioreactor design. Before joining GTRI, Damen conducted research into the manipulation of textiles with Softwear Automation and the design of deformable parcel manipulation systems with Dorabot. His creative work ATLTVHEAD with the Atlanta Beltline Inc., includes the creation of several wearable electronic systems for remote computing and novel interactions between wearable systems and live user input from those walking the Atlanta Beltline. 

Aditi Das did her BSc. (Hons.) Chemistry from St. Stephen's College Delhi, followed by M.S. (Chemistry) from I.I.T (Kanpur). She received her Ph.D. in Chemistry from Princeton University. She did post-doctoral work with Prof. Steve Sligar. She joined University of Illinois, Urbana-Champaign (UIUC) as a tenure track assistant professor in 2012. In 2019, she was promoted to associate professor with tenure. In 2022, she joined School of Chemistry and Biochemistry at Georgia Institute of Technology as an associate professor with tenure. Her research is in the area of enzymology of oxygenases that are involved lipid metabolism and cannabinoid metabolism.

Das is recipient of an American Heart Associate (AHA) career award and has been funded by National Institute of Health (NIH - NIGMS, NIDA and NCCIH), USDA, and National Multiple Sclerosis Society (NMSS). Her research was recognized by several National awards: Young Investigator award From Eicosanoid Research Foundation, Mary Swartz Rose Young Investigator Award and E.L.R. Stokstad award from American Society for Nutrition (ASN) for outstanding research on bioactive compounds for human health. She is also the recipient of Zoetis Research Excellence Award from her college. She was a co-organizer of the International Conference on Cytochrome P450. Recently her laboratory contributed several papers on cannabinoid metabolism by p450s. In recognition of this work, she was awarded El Sohly award from the ACS-Cannabis division for excellence in Cannabis research and is invited to give plenary lecture at ISSX meeting.  Das is also a standing study section member of BBM NIH study section.