Aaron joined the PACE team in May 2019 as a computing facilitator, and currently serves as the Scheduler Architect. Through supporting users, he grew to appreciate the opportunity to improve HPC workflows through scheduler and systems configurations that lower the barrier to entry and passively optimize code execution. Additionally, Aaron has been involved in the Vertically Integrated Projects (VIP) program since Spring 2020, mentoring multiple teams of students with the Team Phoenix VIP through international HPC competitions at the ISC-HPC and Supercomputing conferences and more recently, providing leadership for the Future Computing with the Rogues Gallery VIP as they research applications of novel compute architectures. Prior to joining PACE, Aaron studied free neutron and nuclear beta decay as a precision test of the Standard Model, which entailed a diverse range of activities, including particle simulation and detection, digital and analog signal processing, and algorithm optimization across x86, GPU, and FPGA architectures.

Suhas S. Jain is an Assistant Professor in the Woodruff School of Mechanical Engineering at Georgia Tech. He received his bachelor’s from NIT-Karnataka (India) in 2014, M.S. and Ph.D. from Stanford University in 2018 and 2022, respectively, all in mechanical engineering. Before coming to Georgia Tech, he was a postdoctoral fellow at the Center for Turbulence Research, Stanford University (2022-2023), a researcher at the Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Germany (2014-2015), and a project assistant at the Indian Institute of Science (2015-2016).

His research interests include computational modeling of fluid flows (multiphase flows; turbulent flows; compressible flows; and fluid-structure interaction) with a current focus on modeling atomization, sprays, and phase change for propulsion applications; ice accretion and aerodynamics for sustainable energy and aerospace design; and air-sea interaction modeling for understanding climate change; and modeling of fluid-solid and solid-solid systems for biomedical and high-speed applications. Through the integration of numerical modeling, high-performance computing, and data-driven approaches, Suhas and his group aim to address key challenges in these areas.

Vida Jamali earned her Ph.D. in chemical and biomolecular engineering from Rice University under the guidance of Professor Matteo Pasquali and her B.S. in chemical engineering from Sharif University of Technology. Jamali was a postdoctoral researcher in Professor Paul Alivisato's lab at UC Berkeley and Kavli Energy Nanoscience Institute before joining Georgia Tech. The Jamali Research Group uses experimental, theoretical, and computational tools such as liquid phase transmission electron microscopy, rheology, statistical and colloidal thermodynamics, and machine learning to study the underlying physical principles that govern the dynamics, statistics, mechanics, and self-organization of nanostructured soft materials, in and out of thermal equilibrium, from both fundamental and technological aspects.

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.

Xiaoming Huo is an A. Russell Chandler III Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Dr. Huo's research interests include statistical theory, statistical computing, and issues related to data analytics. He has made numerous contributions on topics such as sparse representation, wavelets, and statistical problems in detectability. His papers appeared in top journals, and some of them are highly cited. He is a senior member of IEEE since May 2004. 

Josiah Hester works broadly in computer engineering, with a special focus on wearable devices, edge computing, and cyber-physical systems. His Ph.D. work focused on energy harvesting and battery-free devices that failed intermittentently. He now focuses on sustainable approaches to computing, via designing health wearables, interactive devices, and large-scale sensing for conservation. 
   
His work in health is focused on increasing accessibility and lowering the burden of getting preventive and acute healthcare. In both situations, he designs low-burden, high-fidelity wearable devices that monitor aspects of physiology and behavior, and use machine learning techniques to suggest or deliver adaptive and in-situ interventions ranging from pharmacological to behavioral. 
   
His work is supported by multiple grants from the NSF, NIH, and DARPA. He was named a Sloan Fellow in Computer Science and won his NSF CAREER in 2022. He was named one of Popular Science's Brilliant Ten, won the American Indian Science and Engineering Society Most Promising Scientist/Engineer Award, and the 3M Non-tenured Faculty Award in 2021. His work has been featured in the Wall Street Journal, Scientific American, BBC, Popular Science, Communications of the ACM, and the Guinness Book of World Records, among many others.

Larry P. Heck is a Professor with a joint appointment in the Schools of Electrical and Computer Engineering and Interactive Computing at the Georgia Institute of Technology. He holds the Rhesa S. Farmer Distinguished Chair of Advanced Computing Concepts and is a Georgia Research Alliance Eminent Scholar. His received the BSEE from Texas Tech University (1986), and MSEE and PhD EE from the Georgia Institute of Technology (1989,1991). He is a Fellow of the IEEE, inducted into the Academy of Distinguished Engineering Alumni at Georgia Tech and received the Distinguished Engineer Award from the Texas Tech University. He was a Senior Research Engineer with SRI (1992-98), VP of R&D at Nuance (1998-2005), VP of Search and Advertising Sciences at Yahoo! (2005-2009), Chief Scientist of the Microsoft Speech products and Distinguished Engineer in Microsoft Research (2009-2014), Principal Scientist with Google Research (2014-2017), CEO of Viv Labs and SVP at Samsung (2017-2021).

Christine Heitsch is Professor of Mathematics at Georgia Tech, with courtesy appointments in Biological Sciences and Computational Science & Engineering as well as an affiliation with the Petit Institute for Bioengineering & Bioscience.

She is also Director of the new Southeast Center for Mathematics and Biology (SCMB), an NSF-Simons MathBioSys Research Center, and finishing her tenure directing the GT Interdisciplinary Mathematics Preparation and Career Training (IMPACT) Postdoctoral Program.

Heitsch's research interests lie at the interface between discrete mathematics and molecular biology, specifically combinatorial problems "as motivated by" and "with applications to" fundamental biomedical questions like RNA folding.

Students interested in pursuing graduate studies in discrete mathematical biology can do so through a number of GT PhD programs including Bioinformatics or Quantitative Biosciences as well as Algorithms, Combinatorics, and Optimization (ACO), Computational Science & Engineering (CSE), and (of course) Mathematics.