Dr. Randy L. Hirschtick is a Professor of Psychiatry at Harvard Medical School and Clinical Professor of Psychiatry with a secondary appointment in Radiology at Massachusetts General Hospital (MGH). She is Associate Director for Translational Research in the Psychiatric Neuroimaging Program. Dr. Hirschtick’s research program in the domain of neuroimaging informatics focuses on the calibration and validation of neuroimaging data vital to the development of viable neuroimaging biomarkers as well as on solutions to aggregate large datasets for research.  She is an institutional leader in the development and deployment of informatics tools to support investigators who use electronic healthcare record data for their research, with a special expertise in the domain of medical images.  She has applied this infrastructure to collaborative studies of MRI metrics of healthy brain development and detection of neonatal brain damage among others. A member of the affiliate faculty of the Harvard Massachusetts Institute of Technology division of Health Sciences Technology (HST), she serves as Co-Training Director of the HST Neuroimaging Training Program.

Dr. Santosh Kumar is the Lillian and Morrie Moss Chair of Excellence Professor in Computer Science at the University of Memphis. He directs the NIH-funded mDOT Center and previously led the NIH-funded MD2K Center of Excellence. He is also the co-founder and CEO of CuesHub, PBC. His current research focuses on developing new AI models to infer health states, daily behaviors, privacy risks, and mitigation strategies. Dr. Kumar’s research has resulted in wearable AI for detecting stress, smoking, craving, drug use, brushing, flossing, and stressful conversations from physiological and motion sensors.

Dr. Alex Leow is a Professor in Psychiatry, Biomedical Engineering, and Computer Science at the University of Illinois Chicago and an attending physician at the University of Illinois Hospital. Co-founder of the Computational Neuroimaging and Connected Technology lab, Dr Leow leads the BiAffect study, the first crowd-sourced iPhone study that turns smartphones into “brain fitness trackers” using naturalistic smartphone keyboard typing metadata (i.e., not what you type but how you type it). Dr Leow and her research have been extensively featured in the news, including the Chicago Tribune, Forbes, The Wall Street Journal, the Associated Press news, Rolling Stone, NBC News, IEEE EMBS society, NPR All Things Considered, FreeThink, and TEDxChicago.

Dr. Ruowang Li is an Assistant Professor in the Department of Computational Biomedicine at Cedars Sinai Medical Center. His lab focuses on developing computational methods to extract knowledge from large-scale population-level data, such as biobank-linked electronic health record data. His area of research includes multi-omics data integration, federated learning of patients’ data, genetic risk prediction, and genome-phenome associations.

Dr. Amir Rahmani is a Professor of Nursing and Computer Science at the University of California, Irvine (UCI), and a computer scientist by training. He also serves as the Associate Director of the UCI Institute for Future Health and leads the multidisciplinary HealthSciTech Group at UCI. His research spans mHealth, data science, wearable and mobile computing, machine learning and AI, affective computing, bio-signal processing, health informatics, and embedded computing. Dr. Rahmani's contributions have been recognized with the UCI Beall Applied Innovation’s inaugural Faculty Innovation Fellowship, the Nokia Foundation's Research Excellence Award, the Ulla Tuominen Foundation's Research Excellence Award, and the European Union’s Global Marie Curie Fellowship. He has also been a UTU Teacher of the Year candidate and was awarded the lifetime Docent title by the UTU Rector.

Dr. Haoteng Tang is an Assistant Professor of Computer Science at the University of Texas Rio Grande Valley (UTRGV). His research focuses on interpretable and robust deep learning model design, brain connectomics for neurodegenerative disease analysis, and medical image computing. His work has contributed to the identification of key brain biomarkers and the advancement of AI-driven medical image modeling and analysis for disease diagnosis. Dr. Tang is also dedicated to improving the reliability and clinical applicability of AI in medical imaging. He serves as a Review Editor for Frontiers in Radiology.

Dr. James Zou is an Associate Professor of Biomedical Data Science, Computer Science and Electrical Engineering at Stanford University. His research focuses on advancing the foundations of machine learning and in-depth scientific and clinical applications. Many of his innovations are widely used in tech and biotech industries.  Dr. Zou has received numerous honors, including the 2025 ISCB Overton Prize for his impact on computational biology, a Sloan Fellowship, an NSF CAREER Award, two Chan-Zuckerberg Investigator Awards, a Top Ten Clinical Achievement Award, several best paper awards, and faculty awards from Google, Amazon, and Adobe. His research has also been profiled in popular press including the NY Times, WSJ, and WIRED.