Joy Arulraj is an assistant professor in the School of Computer Science at Georgia Institute of Technology. His research interest is in database management systems, specifically large-scale data analytics, main memory systems,  machine learning, and big code analytics. At Georgia Tech, he is a member of the Database group.

Alexandria Smith is currently an Assistant Professor of Music at the Georgia Institute of Technology. She received her Ph.D. from the University of California, San Diego, and holds an M.M. and B.M. from Mannes the New School for Music.

Alexandria specializes in recording/mixing/mastering music that mixes different genres and experimental music. Her work has been referred to by Downbeat as “splendidly engineered.” Alexandria’s recent project as tracking/mix/mastering engineer and co-producer of Grammy-nominated bassist Mark Dresser’s Tines of Change was favorably reviewed by Downbeat, the Wire Magazine, San Diego Union Tribune, Percorsi Musical, All About Jazz, jazz-fun.de-Magazin für Jazz Musik, and more and was rated as one of the ‘Best Solo Albums of the Year’ by bestofjazz.org and best of 2023 by Downbeat. She has worked on recordings by Basher, Filera (Carmina Escobar, Natalia Pérez Turner, and Wilfrido Terrazas), Alvin Lucier, Rand Steiger, Treesearch, TJ Borden, Judith Hamann, and more. Her audio engineering work can be heard on labels such as Pyroclastic Records, Infrequent Seams, Black Truffle, New Focus Recordings, 577 Records, 1980 Records, and Blank Forms.

Dr. Abigale Stangl is a design researcher specializing in the development of systems that promote inclusive design practices and enhance the accessibility of products and information. With expertise in human-centered design, human-computer interaction, accessibility, and sensory AI, her interdisciplinary research encompasses universal design principles and prioritizes disability-first innovation. Abigale's current research goals focus on expanding tactile media availability through in-depth investigations of tactile design practices, interaction techniques, and the optimization of multimodal and multisensory systems. She actively collaborates with individuals with disabilities, ensuring their perspectives and needs drive innovation. Abigale also cultivates students' abilities as allies and co-designers, fostering an inclusive design community that embraces diverse perspectives.

Zahra Mobini is an Assistant Professor of Operations Management at Scheller College of Business. Her research interests revolve around the design and analysis of human-centric solutions to operations management problems, with a focus on healthcare operations. Using empirical and analytical methods, she studies how advancements in technology, regulations, and clinical protocols influence provider and patient behavior, and how to align their incentives for optimal outcomes. Her research has been supported by the Work in the Age of Intelligent Machines (WAIM) Research Fellowship with funding from the NSF's Future of Work at the Human-Technology Frontier Initiative. Her contributions have been recognized by the INFORMS Decision Analysis Society and POMS College of Healthcare Operations.

Zahra completed her PhD in Management Science - Operations Management at the UT Dallas Jindal School of Management and was a George Family Foundation postdoctoral fellow at Georgia Tech’s ISyE before joining Scheller.

Ratan obtained his PhD in Neuroscience from the Indian Institute of Science, Bangalore (India) with Prof. SP Arun and completed his postdoctoral research at the Massachusetts Institute of Technology with Profs. Nancy Kanwisher and James J DiCarlo.​ He leads the Murty Vision, Cognition, and Computation Lab at Georgia Tech.

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Ratan's research goal is to understand the neural codes and algorithms that support human vision.

Pan Li joined Georgia Tech in 2023 Spring. Before that, Pan Li worked at the Purdue Computer Science Department as an assistant professor from the 2020 fall to the 2023 Spring. Before joining Purdue, Pan worked as a postdoc at Stanford Computer Science Department from 2019 to 2020. Pan did his Ph.D. in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. Pan Li has got the NSF CAREER award, the Best Paper award from the Learning on Graph Conference, Sony Faculty Innovation Award, JPMorgan Faculty Award.

Bo Dai is a tenure-track assistant professor at Georgia Tech's School of Computational Science and Engineering. Prior to joining academia, he worked as a Staff Research Scientist at Google Brain. Bo Dai completed his Ph.D. in the School of Computational Science and Engineering at Georgia Tech, where he worked from 2013 to 2018 with Professor Le Song. His research focuses on developing principled and practical machine learning techniques for real-world applications. Bo Dai has received numerous awards for his work, including the best paper award at AISTATS 2016. He regularly serves as a (senior) area chair at major AI/ML conferences, such as ICML, NeurIPS, AISTATS, and ICLR.

Nisha Chandramoorthy is an assistant professor in the School of Computational Science and Engineering at Georgia Tech. Her research involves mathematical analyses and development of rigorous computational methods for better understanding and engineering nonlinear, possibly chaotic, dynamical systems. Some themes from her research are statistical response to perturbations, probability measure transport and high-dimensional Bayesian inference, and generalization of learning algorithms. These are motivated by fundamental scientific questions about nonlinearity as well as computational problems surrounding nonlinear systems. Both aims feed each other to improve our collective understanding of complex nonlinear processes, including in systems biology, climate studies and machine learning.

Prior to joining Georgia Tech, Nisha was a postdoctoral researcher at the Institute for Data, Systems and Society at MIT. She received her Ph.D. and master’s degrees from MIT in 2021 and 2016 respectively, and her bachelor’s degree from Indian Institute of Technology, Roorkee, in 2014.

Nabil Imam works on topics in machine learning and theoretical neuroscience with the goal of understanding general principles of neural coding and computation, and their technological applications.

Prof. Imam joined Georgia Tech faculty in January 2022.