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).

Jun Ueda received his B.S., M.S., and Ph.D. degrees from Kyoto University, Japan, in 1994, 1996, and 2002 all in Mechanical Engineering. From 1996 to 2000, he was a Research Engineer at the Advanced Technology Research and Development Center, Mitsubishi Electric Corporation, Japan. He was an Assistant Professor of Nara Institute of Science and Technology, Japan, from 2002 to 2008. During 2005-2008, he was a visiting scholar and lecturer in the Department of Mechanical Engineering, Massachusetts Institute of Technology. He joined the G. W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology as an Assistant Professor in 2008 where he is currently a Professor. He received Fanuc FA Robot Foundation Best Paper Award in 2005, IEEE Robotics and Automation Society Early Academic Career Award in 2009, Advanced Robotics Best Paper Award in 2015, and Nagamori Award in 2021. 

Maegan received her Ph.D. in Mechanical Engineering (ME) from the California Institute of Technology (Caltech) in May 2023. Prior, she also received a M.S. in ME from Caltech in 2019 and a B.S. in ME from Georgia Tech in 2017. After graduating with her Ph.D., Maegan conducted a brief postdoc at Caltech (May–August 2023), followed by a brief research position at Disney Research (September–December 2023). Generally speaking, her research interests lie at the intersection of control theory and human-robot interaction, with specific applications towards lower-limb assistive devices. Much of her research is centered around the question: “What is the right way to walk?”. In her free time, Maegan enjoys puzzles, playing video games, and the piano.

Maegan Tucker joined Georgia Tech as an assistant professor with joint appointments in the School of Electrical & Computer Engineering and the School of Mechanical Engineering in January 2024.

Shu Takayama earned his BS and MS in Agricultural Chemistry at the University of Tokyo. He earned a Ph.D. in Chemistry at The Scripps Research Institute in La Jolla, California studying bio-organic synthesis with Dr. Chi‐Huey Wong. He then worked as a postdoc with Dr. George Whitesides at Harvard University where he focused on applying microfluidics to studying cell and molecular biology.

Takayama began his career at the University of Michigan, where led his lab in the Department of Biomedical Engineering and Macromolecular Science & Engineering for over 17 years. In 2017, the lab moved to Georgia Tech where Shu became the Georgia Research Alliance Price Gilbert Chair Professor of Biomedical Engineering in the Wallace H. Coulter Department of Biomedical Engineering.

Takayama’s research interests are diverse and motivated by clinical and biotechnology needs. He is always interested in hearing from stakeholders in these areas who are seeking engineering collaboration.

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.

Prof. Singh has a joint appointment with the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University.

Prof. Singh started at Cornell University as an Assistant Professor in 2013 and was promoted with tenure to Associate Professor with joint appointments in the Mechanical Engineering and Biomedical Engineering. At Cornell, he served as the Associate Director of the NIH T32 training grant on Immuno-engineering, executive council of the Center for Immunology, and the Cornell (Ithaca) – Weill Cornell Medicine (NYC) Academic Integration initiative. Prior to joining Cornell, he completed his postdoctoral training in cell mechanobiology, cell-matrix interactions, and stem cell engineering at Georgia Tech in Mechanical Engineering.

Jay Patel, Ph.D., is an Assistant Professor in the Department of Orthopaedics at Emory and a Health Science Specialist at the Atlanta VA. Patel joined the faculty at Emory in September 2020, and his program focuses on the repair and regeneration of musculoskeletal tissues (e.g., cartilage, meniscus), with an emphasis on using micro-scale findings to drive macro-scale therapies. His lab uses a combination of biomechanics, biomaterials, mechano-biology, in vitro systems, and functional in vivo models to motivate, design, develop, and evaluate novel treatments and therapeutics for orthopaedic injuries. He received his Bachelor’s in Bioengineering from Rice University and his Ph.D. in Biomedical Engineering from Rutgers University. He then pursued his postdoctoral training at the University of Pennsylvania in the Department of Orthopaedic Surgery, working on a variety of cartilage tissue engineering and mechano-biology projects. Patel has published over 20 manuscripts, has presented at numerous international conference meetings, and won several prestigious awards, including the Excellence in Research Award (2018) from the American Orthopaedic Society for Sports Medicine. Moreover, both his graduate and postdoctoral work resulted in pending patent applications, and the formation of startup companies with active small-business funding, demonstrating his ultimate goal of translating these approaches to the clinic.
 

Sakis Mantalaris is currently Professor in Biomedical Engineering at Georgia Tech & Emory. Prior he was Professor in Chemical Engineering at Imperial College London. His expertise is in modelling of biological systems and bioprocesses with a focus on mammalian cell culture systems, stem cell bioprocessing, and tissue engineering. He has received several awards: the Junior Moulton Award for best paper by the IChemE (2004), Fellow of AIMBE (2012), an ERC Advanced Investigator Award (2013), and the Donald Medal by the IChemE for his contributions to biochemical engineering (2015).
 

I am an Assistant Professor in the School of Computational Science and Engineering (CSE), Georgia Institute of Technology since January 2022. I received my PhD from the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Jian Peng. Prior to that, I received my bachelor’s degree in Computer Science from Yao Class at Tsinghua University in 2016.

I am broadly interested in computational biology and machine learning, with a focus on developing AI and data science methods to reveals core scientific insights into biology and medicine. Recent interests include deep learning, transfer learning, sequence and graph representation learning, network and system biology, functional genomics, cancer genomics, drug repositioning and discovery, and AI-guided biological design and discovery.