Aaron D. Levine is Associate Dean for Research and Outreach in the Ivan Allen College of Liberal Arts and Professor in the School of Public Policy at Georgia Tech. He also holds an appointment as a Guest Researcher in the Division of Reproductive Health at the Centers for Disease Control and Prevention. He is a member of the leadership team for the NSF Engineering Research Center for Cell Manufacturing Technologies (CMaT), leading ethics and policy research for the center. He seved as Co-Director for CMaT's Engineering Workforce Development activities from 2017 to 2022. His research focuses on the intersection between public policy and bioethics. Much of his work has examined the development of stem cell science, particularly research using human embryonic stem cells, and the translation of novel cell therapies. He also writes extensively on the oversight of contentious areas of medicine, such as assisted reproductive technology. In 2012, he received a NSF CAREER award to examine the impact of ethical controversy on graduate science education and the development of scientific careers.  He serves as Vice-Chair for Bioethics on the International Society for Cell & Genel Therapy’s Committee on the Ethics of Cell and Gene Therapy and recently completed a three-year term as an elected member of the Board of Directors of the American Society for Bioethics and Humanities. He is also a long-time member of the International Society for Stem Cell Research, the Association for Public Policy Analysis and Management, and the American Association for the Advancement of Science.

Aaron has a long-standing interest in science communication and is the author of Cloning: A Beginner's Guide (Oneworld Publications, 2007), an accessible introduction to the science of cloning and embryonic stem cells and the ethical and policy controversies this science inspires. He was an AAAS Leshner Leadership Institute Public Engagement Fellow for 2019-2020. You can follow Aaron on twitter at @aarondlevine.

He completed his Ph.D. in Public Affairs at Princeton University, where his dissertation research examined the impact of public policy on the development of human embryonic stem cell science.  He also holds an M. Phil. from the University of Cambridge, where, as a Churchill Scholar, he studied computational biology at the Sanger Centre and developed algorithms to help analyze the human genome sequence, and a B.S. in Biology from the University of North Carolina at Chapel Hill, where he was a Morehead Scholar.

Prior to joining the Georgia Tech faculty in 2001 as a Professor, Yogendra Joshi held academic positions at the University of Maryland, College Park, and the Naval Postgraduate School, Monterey, California. He also worked in the semiconductor assembly industry on process thermal model development. He was named to the McKenney/Shiver Chair in 2004.

Richard Simmons is currently a Principal Research Engineer and the Director of Research and Studies at Georgia Tech’s Strategic Energy Institute (SEI) where he directs cross-cutting energy projects with an emphasis on clean electric power, vehicle efficiency and alternative fuels. He is also an instructor in Georgia Tech’s Woodruff School of Mechanical Engineering, with a specialization in design, mechatronics, and thermal systems. 

Simmons received his bachelor's degree from Georgia Tech, and masters and Ph.D. from Purdue, all in Mechanical Engineering. He is a licensed professional engineer (PE) with more than 20 years of RD&D experience in automotive, advanced materials, and alternative energy and fuels. 

From 2009 to 2012, he served a prestigious American Association for the Advancement of Science S&T (Science and Technology) Policy Fellowship at the U.S. Department of State, providing technical analysis on international policy issues related to renewable energy. He has recently authored numerous publications including an open-access eBook entitled “Understanding the Global Energy Crisis” (Purdue Press, 2014), several book chapters and journal articles related to advanced energy technologies, transportation energy technology, and future energy policy strategies.

Raphaël Pestourie earned his Ph.D. in Applied Mathematics and an AM in Statistics from Harvard University in 2020. Prior to Georgia Tech, he was a postdoctoral associate at MIT Mathematics, where he worked closely with the MIT-IBM Watson AI Lab. Raphaël’s research focuses on scientific machine learning at the intersection of applied mathematics and machine learning and inverse design via scientific machine learning and large-scale electromagnetic design. 

Surya Kalidindi is a Regents Professor, and Rae S. and Frank H. Neely Chair Professor in the Woodruff School of Mechanical Engineering at Georgia Institute of Technology, Georgia, USA with joint appointments in the School of Materials Science and Engineering as well as the School of Computational Science and Engineering. Surya earned a Ph.D. in Mechanical Engineering from Massachusetts Institute of Technology in 1992, and joined the Department of Materials Science and Engineering at Drexel University as an Assistant Professor. After twenty years at Drexel University, Surya moved into his current position at Georgia Tech. Surya’s research efforts have made seminal contributions to the fields of crystal plasticity, microstructure design, and materials informatics. Surya has been elected a Fellow of ASM International, TMS, and ASME. In 2016, he and his group members have been awarded the top prize as well as one of the runner-up prizes in the national Materials Science and Engineering Data Challenge sponsored by the Air Force Research Lab in partnership with the National Institute of Standards and Technology and the U.S. National Science Foundation. He has also been awarded the Alexander von Humboldt Research Award, the Vannever Bush Faculty Fellow, the Government of India’s Vajra Faculty Award, and the Khan International Award.

Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech. He also holds the ON Semiconductor Junior Professorship. He has a Ph.D. in Electrical Engineering and Computer Science from MIT (2014), a M.S.E in Electrical Engineering from Princeton University (2009), and a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Delhi (2007). Before joining Georgia Tech in 2015, Krishna spent a year as a researcher at the VSSAD group at Intel, Massachusetts.

Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC) and deep learning accelerators – with a focus on optimizing data movement in modern computing systems. Three of his papers have been selected for IEEE Micro’s Top Picks from Computer Architecture, one more received an honorable mention, and three have won best paper awards. He received the National Science Foundation (NSF) CRII award in 2018, a Google Faculty Award in 2019, and a Facebook Faculty Award in 2019 and 2020.

Aarn Stebner works at the intersection of manufacturing, machine learning, materials, and mechanics. He joined the Georgia Tech faculty as an associate professor of Mechanical Engineering and Materials Science and Engineering in 2020.

Previously, he was the Rowlinson Associate Professor of Mechanical Engineering and Materials Science at the Colorado School of Mines (2013 – 2020), a postdoctoral scholar at the Graduate Aerospace Laboratories of the California Institute of Technology (2012 – 2013), a Lecturer in the Segal Design Institute at Northwestern University (2009 – 2012), a Research Scientist at Telezygology Inc. establishing manufacturing and “internet of things” technologies for shape memory alloy-secured latching devices (2008-2009), a Research Fellow at the NASA Glenn Research Center developing smart materials technologies for morphing aircraft structures (2006 – 2008), and a Mechanical Engineer at the Electric Device Corporation in Canfield, OH developing manufacturing and automation technologies for the circuit breaker industry (1995 – 2000).

Wang's research is in the areas of design, manufacturing, and Integrated computational materials engineering. He is interested in computer-aided design, geometric modeling and processing, computer-aided manufacturing, multiscale simulation, and uncertainty quantification.

Currently, Wang studies integrated product-materials design and manufacturing process design, where process-structure-property relationships are established with physics-based data-driven approaches for design optimization. The Multiscale Systems Engineering research group led by him develops new methodologies and computational schemes to solve the technical challenges of high dimensionality, high complexity, and uncertainty associated with product, process, and systems design at multiple length and time scales.

Computational design tools for multiscale systems with sizes ranging from nanometers to kilometers will be indispensable for engineers' daily work in the near future. The research mission of the Multiscale Systems Engineering group is to create new modeling and simulation mechanisms and tools with underlying scientific rigor that are suitable for multiscale systems engineering for better and faster product innovation. Our education mission is to train engineers of the future to gain necessary knowledge as well as analytical, computational, communication, and self-learning skills for future work in a collaborative environment as knowledge creators and integrators.