Eric joined PACE in 2021, and currently leads the Research Computing Facilitation team, after having worked as a Cyberinfrastructure Architect and RCF. Before joining PACE, Eric could be found at Indiana University as a systems engineer with the XSEDE Campus Bridging team, providing HPC-oriented consultations to institutions across the US. He also worked closely with the Cyberinfrastructure Research Center at IU, providing support for several different science gateway projects. Prior to that, his research in condensed matter physics at Florida State University involved computational studies of the optical properties of strongly correlated materials.

Ahmet Coskun is a systems biotechnologist and bioengineer, working at the nexus of multiplex imaging and quantitative cell biology.

Single Cell Biotechnology Lab is strategically positioned for imaging one cell at a time for spatial context. We are multi-disciplinary researchers interested in photons, ions, and electrons and their interactions with cells and tissues.  Using large-scale experiments and computational analysis, we address fundamental challenges in cancers, immunology, and pediatric diseases. Variability of single cell profiles can be used to understand differences in therapeutic response, as well as satisfy our curiosity on understanding how cells are spatially organized in nature.

Our lab aims to deliver biotechnologies for spatial multi-omics profiling vision at the single cell level.

1) Spatial genomics: Our lab was part of an early efforts to demonstrate spatially resolved RNA profiling in single cells using a sequential FISH method. We will continue leveraging seqFISH and correlation FISH (another computational RNA imaging method) for exploring spatial dynamics of cellular societies.

2) Spatial proteomics: Our lab develops expertise on antibody-oligonucleotide based barcoding for multiplex protein imaging using CODEX technology. We combine CODEX with super-resolution and 3D imaging to visualize and quantify subcellular epigenetic states of immune and cancer cells.

3) Spatial metabolomics: Our lab works on computational and isotope barcoding approaches for small molecule profiling using MIBI (Multiplexed ion beam imaging). 3D and subcellular metabolic state of individual cells are used to model functional modes of cellular decision making in health and disease.

We also develop machine learning and deep learning algorithms to make sense of imaging based single cell big data.

In a nutshell, we create image-based ‘omic technologies to reveal spatial nature of biological systems. We benefit from enabler tools:  Super-resolution bioimaging, barcoded biochemical reagents, advanced algorithms and automated microfludics. Topical interests include Spatial Biology, Liquid Biopsy, and Global Oncology.

Ahmet Coskun trained at Stanford (Postdoc/Instructor with Garry Nolan), Caltech (Postdoc with Long Cai) and UCLA (PhD with Aydogan Ozcan). His lab is currently funded by NIH K25, BWF CASI, Georgia Tech & Emory.

Didier Contis is the Executive Director of Academic Technology, Innovation, Research Computing for the Office of Information Technology. In his role, Didier provides long-range vision, strategic directions, and support for the research and academic technologies of the Institute by partnering with research and academic entities, and leading and executing the aspects of IT strategy that enable the Institute to achieve its research, teaching and learning, and innovation goals.

He previously served as the Interim Chief Information Security Officer (2021) and led the initial Institute response to the 2021 campus-wide external endpoint audit using the centralized coordination with distributed execution organizational approach. He also served as Interim Associate VP for Data Strategy and Analytics and was a member of the Data Security Task Force appointment (2020), charged with improving campus policies and practices concerning the use and sharing of sensitive data.

Since Fall 2021, he has been co-teaching a Vertically Integrated Project class focused on using data as an asset and is interested in applying knowledge graphs for data analytics. In partnership with the University of Michigan and the New School, Didier advocates for the safe and responsible use of eXtended Reality (XR) technologies in higher education. He has co-taught an Educause Learning Lab on XR Security, Privacy, Safety, and Ethics Considerations in Higher Education.

As the Director of Technology Services for CoE from 2007 to 2022, he established several partnerships with the Georgia Tech central IT organization and other academic units to develop new campus-wide services supporting the educational and research ecosystem, with a strong focus on protecting research data, empowering users, and providing equitable access. Some of these initiatives included the launch of the first large-scale GPU-enabled virtual computer lab to provide students access to scientific and engineering applications irrespective of time, place, and device constraints, and a multi-academic unit partnership to create a federated and distributed private academic cloud, supporting research and instruction.

Didier began his career at Georgia Tech in 1999 as a Research Engineer in the School of Electrical and Computing Engineering, focused on Cyber Security, HPC, Unix, and Networking, as well as contributing to research projects on hardware platforms for Network Intrusion Detection and Prevention. In addition, he partnered with faculty to get a grant from Cisco Systems and create the first hands-on network security laboratory. He also was the IT Manager for the School of Civil and Environmental Engineering from 2004 to 2007. Didier holds a Master of Science degree in Electrical Engineering from the Georgia Institute of Technology and a Diplôme d'Ingénieur (Bachelor) from the École des Mines de Nantes in France.

A principal research scientist, Christine Conwell is the interim executive director of the Strategic Energy Institute (SEI) since September 2024 and has served as the director of planning and operations since 2020. She oversees strategic and annual planning within SEI and partners with campus researchers and units to create and execute strategic programs and events. Most recently, she led the development of a new five-year action plan and launched a signature initiative to build energy-focused research partnerships with historically Black colleges and universities and minority-serving institutions.  

Before her role at SEI, Conwell was managing director of the $40 million NSF-NASA Center for Chemical Evolution (CCE) in the School of Chemistry and Biochemistry, where she oversaw daily operations, fostered collaborations between 12 universities and other partners, and developed outreach and educational programs. Annually, she worked with more than 80 faculty, postdoctoral researchers, and students and advised on key opportunities to maximize the center's impact. She served as a key leader within CCE’s management team and, in 2020, she was awarded Georgia Tech’s prestigious Outstanding Achievement in the Research Enterprise Award for her leadership.

Conwell holds a B.S. in molecular biology and chemistry from Westminster College in Pennsylvania and a Ph.D. in biochemistry from Georgia Tech. She has authored several peer-reviewed manuscripts, book chapters, and grants on her research in DNA biophysics and non-viral gene delivery, and was a postdoctoral recipient of the NIH Ruth Kirschstein National Research Service Award. During her time at Georgia Tech, Conwell has served as a member of the Research Faculty Senate and the Faculty Executive Board, and she was selected as a member of the fifth Leading Women at Georgia Tech cohort.

Maribeth Gandy Coleman is a Regent's Researcher and Director of Research for the Institute of People and Technology at Georgia Tech. She received a B.S. in Computer Engineering as well as a M.S. and Ph.D. in Computer Science from Georgia Tech. In her 20+ as a research faculty member her work has been focused on the intersection of technology for mobile/wearable computing, augmented reality, human computer interaction, assistive technology, and gaming. She is a computer scientist focused on developing novel and scientifically validated systems at the “human technology frontier” designed for purposes such as training, rehabilitation, and cognitive training, utilizing cutting-edge technology such as augmented and virtual reality. For example, she lead an initiative (funded by National Science Foundation, Dept of Education, and ACT Inc.) to research the design of games for cognitive training and assessment for older adults, persons with disabilities, and K-12 students. She also previously led a project funded by Georgia Tech’s Health Systems Institute to develop home-based computer games for stroke rehabilitation. In her AR research, she is interested in advancing AR as a new medium by focusing on authoring, evaluation, and deployment. She was the lead architect on a large open source software project called the Designer’s Augmented Reality Toolkit (DART), which had thousands of users and was used to create a variety of large-scale AR systems. She was also co-PI on an NSF grant focused on the development of presence metrics for measuring engagement in AR environments using qualitative and quantitative data. She has also applied AR technologies to a STEM education project for teens, explored how AR interfaces can enhance user abilities during maintenance and repair tasks, and is currently studying the use AR and mobile technologies to make Internet of Things environments more approachable and useful to communities. In her Director role she is responsible for organizational leadership & strategic planning, fundraising, convening & managing diverse teams, industry/academic partnerships, and translational work including commercialization of intellectual property.

Dr. Gari Clifford is a tenured Professor of Biomedical Informatics and Biomedical Engineering at Emory University and the Georgia Institute of Technology, and the Chair of the Department of Biomedical Informatics (BMI) at Emory. His research focuses on the application of signal processing and machine learning to medicine to classify, track and predict health and illness. His focus research areas include critical care, digital psychiatry, global health, mHealth, neuroinformatics and perinatal health. After training in Theoretical Physics, he transitioned to AI and Engineering for his doctorate (DPhil) at the University of Oxford in the 1990’s. He subsequently joined MIT as a postdoctoral fellow, then Principal Research Scientist where he managed the creation of the MIMIC II database, the largest open access critical care database in the world. He later returned as an Associate Professor of Biomedical Engineering to Oxford, where he helped found its Sleep & Circadian Neuroscience Institute and served as Director of the Centre for Doctoral Training in Healthcare Innovation at the Oxford Institute of Biomedical Engineering. As Chair, Dr Clifford has established BMI as a leading center for critical care and mHealth informatics, and as a champion for open access data and open source software in medicine, particularly through his leadership of the PhysioNet/CinC Challenges and contributions to the PhysioNet Resource. Despite this, he is a strong supporter of commercial translation, working closely with industry, and serves as CTO of MindChild Medical, a spin out from his research at MIT.

Xu Chu is an assistant professor in the School of Computer Science at Georgia Tech. He obtained his Ph.D. degree from the University of Waterloo in late 2017, and joined Georgia Tech in Jan 2018. He is a recipient of the JP Morgan Faculty Research Fellow Award, the Microsoft Ph.D. fellowship award, and the David R. Cheriton fellowship award. 

He is broadly interested in data management systems and machine learning. In particular, he focuses on (1) how to leverage advanced machine learning techniques to solve hard and practical data management problems, such as large-scale data integration; and (2) how to build data management systems to tackle the common pain points in practical machine learning, such as the lack of high-quality labeled data.

Simon Chung is a research scientist at the Institute for Data Engineering and Science. He obtained his Ph.D. degree from the University of Texas at Austin. His research interests range from UI security, improving the security and usability of authentication systems, to employing the latest hardware features to improve systems security.