Munmun De Choudhury is an Associate Professor at the School of Interactive Computing in Georgia Institute of Technology. Dr. De Choudhury is renowned for her groundbreaking contributions to the fields of computational social science, human-computer interaction, and digital mental health. Through fostering interdisciplinary collaborations across academia, industry, and public health sectors, Dr. De Choudhury and her collaborators have contributed significantly to advancing the development of computational techniques for early detection and intervention in mental health, as well as in unpacking how social media use benefits or harms mental well-being. De Choudhury's contributions have been recognized worldwide, with significant scholarly impact evidenced by numerous awards like induction into the SIGCHI Academy and the 2023 SIGCHI Societal Impact Award. Beyond her academic achievements, Dr. De Choudhury is a proactive community leader, a persistent contributor to policy-framing and advocacy initiatives, and is frequently sought for expert advice to governments, and national and international media.

Jennifer S. Singh is Associate Professor of Sociology and Director of Undergraduate Studies in the School of History and Sociology in the Ivan Allen College of Liberal Arts at Georgia Tech. She has a PhD in sociology from the University of California, San Francisco and specializes in medical sociology and science and technology studies. Her research investigates the intersections of genetics, health and society, which draws on her experiences of working in the biotechnology industry in molecular biology and as a public health researcher at the Center for Disease Control and Prevention. Her book, Multiple Autisms: Spectrums of Advocacy and Genomic Science, explores a range of perspectives from scientists, activists, parents, and people living with autism surrounding the rise and implementation of autism genetics research. Her current research investigates structural inequities to autism diagnosis and services based on race, social class and gender. 

Roman Mezencev is an adjunct associate professor in the School of Biological Sciences at Georgia Tech and a scientist at the U.S. EPA’s National Center of Public Health and Environmental Assessment. His areas of research interest include cancer biology, pharmacology, toxicogenomics, protein misfolding diseases, and public health. In cancer biology, his main research focuses on using omics data to identify new cancer subtypes through molecular profiling, which can help enhance their diagnosis and treatment. Additionally, Mezencev explores the use of omics data to predict and understand chemically-induced cancer and other adverse outcomes to protect public health. He is also investigating the intriguing epidemiological associations and mechanistic connections between cancer and Alzheimer’s disease (AD), as well as other protein-misfolding diseases. By understanding these associations, we can identify shared risk factors and molecular mechanisms that can lead to the development of new anti-cancer and anti-AD drugs and enhance our understanding of these complex diseases.
 

Pinar Keskinocak is the H. Milton and Carolyn J. Stewart School Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. She is also co-founder and director of the Center for Health and Humanitarian Systems. Previously, she served as the College of Engineering ADVANCE Professor and as interim associate dean for faculty development and scholarship. Prior to joining Georgia Tech, she worked at IBM T.J. Watson Research Center. She received her Ph.D. in Operations Research from Carnegie Mellon University, and her M.S. and B.S. in Industrial Engineering from Bilkent University.

Keskinocak's research focuses on the applications of operations research and management science with societal impact, particularly health and humanitarian applications, supply chain management, and logistics/transportation. Her recent work has addressed infectious disease modeling (including Covid-19, malaria, Guinea worm, pandemic flu), evaluating intervention strategies, and resource allocation; catch-up scheduling for vaccinations; hospital operations management; disaster preparedness and response (e.g., prepositioning inventory); debris management; centralized and decentralized price and lead time decisions. She has worked on projects with companies, governmental and non-governmental organizations, and healthcare providers, including American Red Cross, CARE, Carter Center, CDC, Children’s Healthcare of Atlanta, Emory University, and Intel Corporation.

She is an INFORMS Fellow and currently serves as the president of INFORMS. Previously she served as the Secretary of INFORMS, a department editor for Operations Research (Policy Modeling and Public Sector area), associate editor for Manufacturing & Service Operations Management, and INFORMS Vice President of Membership and Professional Recognition. She is the co-founder and past-president of INFORMS Section on Public Programs, Service, and Needs, and the president of the INFORMS Health Applications Society.

Peter Kasson is an international leader in the study of biological membrane structure, dynamics, and fusion, with particular application to how viruses gain entry to cells. His group performs both high-level experimental and computational work – a powerful combination that is critical to advancing our understanding of this important problem. His publications describe inventive approaches to the measurement of viral fusion rates and characterization of fusion mechanisms, and to the modeling of large-scale biomolecular and lipid assemblies. He has applied these insights to the prediction of pandemic outbreaks and drug resistance, with particular attention to Zika, SARS-CoV-2, and influenza pathogens in recent years. See https://kassonlab.org/ for more information.

King Jordan is Professor in the School of Biological Sciences and Director of the Bioinformatics Graduate Program at the Georgia Institute of Technology. He has a computational laboratory and his group works on a wide variety of research and development projects related to: (1) human clinical & population genomics, (2) computational genomics for public health, and (3) computational approaches to functional genomics. He is particularly interested in the relationship between human genetic ancestry and health. His lab is also actively engaged in capacity building efforts in genomics and bioinformatics in Latin America. 

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.

Turgay Ayer is the Virginia C. and Joseph C. Mello Chair and a professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Ayer also serves as the research director for healthcare analytics and business intelligence in the Center for Health & Humanitarian Systems at Georgia Tech and holds a courtesy appointment at Emory Medical School.

His research focuses on healthcare analytics and socially responsible business analytics with a particular emphasis on practice-focused research. His research papers have been published in top tier management, engineering, and medical journals, and covered by popular media outlets, including the Wall Street Journal, Washington Post, U.S. News, and NPR.

Ayer has received over $2.5 million grant funding and several awards for his work, including an NSF CAREER Award (2015), first place in MSOM Responsible Research in Operations Management (2019), first place in the MSOM Best Practice-Based Research Competition (2017), INFORMS Franz Edelman Laureate Award (2017), and Society for Medical Decision Making Lee Lusted Award (2009).

Ayer serves an associate editor for Operations Research, Management Science, and MSOM, and is a past president of the INFORMS Health Application Society. He received a B.S. in industrial engineering from Sabanci University in Istanbul, Turkey, and his M.S. and Ph.D. degrees in industrial and systems engineering from the University of Wisconsin–Madison.

Alex Adams’s research focuses on designing, fabricating, and implementing new ubiquitous and wearable sensing systems. In particular, he is interested in how to develop these systems using equity-driven design principles for healthcare. Alex leverages sensing, signal processing, and fabrication techniques to design, deploy, and evaluate novel sensing technologies.

Originally a musician, Alex became fascinated by how he could capture and manipulate sounds through analog hardware and digital signal processing, which led him back to his hometown (Concord, NC). Alex completed his BS at the University of North Carolina at Charlotte in 2014 and his Ph.D. at Cornell University in 2021 (advised by Professor Tanzeem Choudhury). Alex then became the resident Research Scientist for the Precision Behavioral Health Initiative at Cornell Tech (NYC) until the fall of 2022, when he joined the School of Interactive Computing at the Georgia Institute of Technology. Currently, his research focuses on the equity-driven design and the development of multi-modal sensing systems to simultaneously assess mental and physical health to enable a new class of mobile health technologies.