Suresh Marru is a research professor dedicated to advancing science and engineering through AI and cyberinfrastructure. Over the past two decades, he has focused on accelerating and democratizing computational science. His work includes the development of science gateways and the pioneering of the Apache Airavata distributed systems framework.

In his current role as the Director of Georgia Tech's ARTISAN Center, his team is at the forefront of pioneering efforts to integrate AI into diverse scientific domains. His group is dedicated to bridging the gap between theory, experimentation, and computation by fostering open-source integration frameworks. These frameworks automate research processes, optimize complex models, and integrate disparate scientific data with simulation engines.

Collaboration is at the heart of Suresh’s ethos. He has had the privilege of working alongside brilliant scientists and technologists, contributing to groundbreaking research in domains such as geosciences, neuroscience, and molecular dynamics. These collaborations have not only accelerated scientific discovery but have also offered valuable insights into the potential of AI in scientific innovation.

Beyond his professional endeavors, Suresh is deeply passionate about open science and open-source software. He also believes in building synergies between academia and industry. He has played an instrumental role in a series of tech startups. Currently, he serves as the Chief Technology Officer at Folia, a company dedicated to unleashing the power of annotations.

Alexander Lerch is an Associate Professor at the School of Music, Georgia Institute of Technology. He received his "Diplom-Ingenieur'' (EE) and his PhD (Audio Communications) from Technical University Berlin. Lerch joined Georgia Tech in 2013 and teaches classes on music signal processing, computational music analysis, audio technology, and audio software engineering. Before he joined Georgia Tech, Lerch was Head of Research at his company zplane.development, an industry leader in music technology licensing. zplane technology includes algorithms such as time-stretching and automatic key detection and is used by millions of musicians and producers world-wide.       

Lerch's research focuses on teaching computers to listen to and comprehend music. His research field, Music Information Retrieval (MIR), positions him at the intersection of signal processing, machine learning, music psychology, and systematic musicology. His Music Informatics Group (http://www.musicinformatics.gatech.edu) creates artificially intelligent software for music generation, production, and consumption and generates new insights into music and its performance.

Lerch authored more than 40 peer-reviewed journal and conference papers. His text book "An Introduction to Audio Content Analysis" (IEEE/Wiley 2012) and the accompanying online materials at www.AudioContentAnalysis.org helped define educational practice in the field.

Dr. Bhasin's laboratory has developed strategies for analysis of transcriptome, epigenome, and proteomics data to perform multi-scale modeling of interaction among different cells molecular level and to identify novel biomarkers. He and his team are currently focusing on developing novel single-cell omics approaches to understand disease heterogeneity and the impact of treatments at single-cell resolution. He is involved in developing approaches for the analysis of multi-dimensional single-cell data by developing innovative approaches for single-cell sparsity, batch correction, annotation, and integration. Using these approaches, his group is working toward understanding: 1. Understanding heterogeneity and relapse mechanisms in pediatric hematological malignancies 2. Understanding heterogeneity and progression in multiple myeloma. 3. Development of molecular diagnostics platforms for cancer diagnosis and prognosis 4. Identification of biomarkers for early detection of pancreatic cancer, glioblastoma, and colon cancer 5. Artificial intelligence-based histopathology and radiology cancer image analysis approaches 6. Single-cell Atlas for Pediatric Cancers Additionally, our group is also developing Biomarkers associated with impaired healing of Diabetic Foot Ulcers using single-cell profiling and deep learning-driven wound image analysis. We are working collaboratively to develop innovative genomics and clinical data-driven drug repurposing approaches.

Juba Ziani is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering. Prior to this, Juba was a Warren Center Postdoctoral Fellow at the University of Pennsylvania, hosted by Sampath Kannan, Michael Kearns, Aaron Roth, and Rakesh Vohra. Juba completed his Phd at Caltech in the Computing and Mathematical Sciences department, where he was advised by Katrina Ligett and Adam Wierman.

Juba studies the optimization, game theoretic, economic, ethical, and societal challenges that arise from transactions and interactions involving data. In particular, his research focuses on the design of markets for data, on data privacy with a focus on "differential privacy", on fairness in machine learning and decision-making, and on strategic considerations in machine learning.

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.

Diego Cifuentes is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. His research centers around the development of mathematical optimization methods, and the application of these methods in engineering areas such as machine learning, statistics, robotics, power systems, and computer vision. He also works in the theoretical analysis of optimization methods, leveraging geometric and combinatorial information to improve efficiency and robustness. Prior to joining ISyE, he served as an applied math instructor in MIT and as a postdoctoral researcher in the Max Planck Institute for Mathematics in the Sciences.

He earned his Ph.D. and M.S. in Electrical Engineering and Computer Science from MIT, and his B.S. in Mathematics and B.S. in Electronics Engineering from Universidad de los Andes.

Dr. Ma received a B.S. degree in Automatic Control from Tsinghua University, Beijing, China in 1998, a M.S. degree in Electrical Engineering from the University of Virginia in 2000, and a Ph.D. degree in Electrical Engineering from the University of Minnesota in 2003. 

After receiving her Ph.D., Ma joined the Department of Electrical and Computer Engineering at Auburn University, where she served as an assistant professor until 2005. Since spring 2006, she has been with the School of Electrical and Computer Engineering at Georgia Tech.

Steven French is Senior Vice President and Chief Information Officer at Veracyte.. He brings more than 20 years of information and operational leadership experience in the life sciences and technology industries to his role at Veracyte. 

Prior to joining Veracyte in July 2022, Mr. French most recently served as President of a consultancy advising leading biotech companies on information technology strategy, cybersecurity, acquisitions and infrastructure integration, and business operations. He previously served as Chief Information Officer at Celularity, a clinical-stage biotechnology company. Prior to that, Mr. French was Vice President of Technology Development at Human Longevity, Inc., a San Diego-based venture focused on building a comprehensive database of human genotypes and phenotypes, where he developed and implemented the infrastructure for key data management strategies. Earlier, Mr. French was Co-Founder and Vice President of Strategy and Technology at Epic Sciences, a diagnostics company focused on advancing the treatment and management of cancer, where he established key strategies for information technology, software development, and quality systems. 

Mr. French holds a B.B.A. and an M.B.A from the University of San Diego.

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.

Ada Gavrilovska is an Associate Professor at the College of Computing and a researcher with the Center for Experimental Research in Computer Systems (CERCS) at Georgia Tech. Her interests include experimental systems, focusing on operating systems, virtualization, and systems software for heterogeneous many-core platforms, emerging non-volatile memories, large scale datacenter and cloud systems, high-performance communication technologies and support for novel end-user devices and services. Her research is supported by the National Science Foundation, the US Department of Energy, and industry grants, including from Cisco, HP, IBM, Intel, Intercontinental Exchange, LexisNexis, VMware, and others. She has published numerous book chapters, journal and conference publications, and edited a book “High Performance Communications: A Vertical Approach” (CRC Press, 2009). In addition to research, she also teaches courses on operating systems and high performance communications. She has a Bachelor's  in Computer Engineering from University Sts. Cyril and Methodius in Macedonia ('98), and a Master's ('99) and Ph.D. ('04) degrees in Computer Science from Georgia Tech.