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. 

I've started as a tenure-track Assistant Professor in the School of Computer Science at Georgia Tech in August 2019, transitioning from my postdoc at the University of California Berkeley, where I worked with Ion Stoica and collaborated closely with Joseph Gonzalez. I completed my Ph.D. at Carnegie Mellon University, advised by Gregory Ganger. At Carnegie Mellon, I was honored by the prestigious NSERC Alexander Graham Bell Canada Graduate Scholarship (NSERC CGS-D3) and partially funded by the Intel Science and Technology Centre for Cloud Computing and Parallel Data Lab. Prior to Carnegie Mellon, I worked on agile stateful VM replication with para-virtualization at the University of Toronto, where I worked with Eyal de Lara and Michael Brudno. My interest in cloud computing, datacenter operating systems, and programming the cloud brought me to the University of Toronto from industry, where I had been developing cluster middleware for distributed datacenter resource management.

Moinuddin Qureshi is a Professor of Computer Science at Georgia Tech. His research interests include computer architecture, memory systems, hardware security, and quantum computing. Previously, he was a research staff member (2007-2011) at IBM T.J. Watson Research Center, where he developed the caching algorithms for Power-7 processors. He is a member of the Hall of Fame for ISCA, MICRO, and HPCA. His research has been recognized with the best paper award at MICRO 2018, best paper award at HiPC 2014, and two awards (and three honorable mentions) at IEEE MICRO Top Picks. His ISCA 2009 paper on Phase Change Memory was awarded the 2019 Persistent Impact Prize in recognition of “exceptional impact on the fields of study related to non-volatile memories”. He was the Program Chair of MICRO 2015 and Selection Committee Co-Chair of Top Picks 2017.  He received his Ph.D. (2007) and M.S. (2003) from the University of Texas at Austin.

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.