Tianxi Cai
Professor of Biomedical Informatics,
Harvard Medical School, USA
Tianxi Cai is the John Rock Professor of Population and Translational Data Science at Harvard Chan School of public health and a Professor of Biomedical Informatics at Harvard medical school. Dr. Cai co-directs the VERITY Bioinformatics Core at Brigham and Women’s Hospital. She also directs the Big Data Analytics Core at Harvard Medical School, providing statistical and biomedical informatics support to both Harvard research community and external research groups.Dr. Cai’s research team has successfully developed statistical and informatics tools for analyzing complex big biomedical data from large scale studies including multi-institutional electronic health records, cohort studies, disease registries, genomic studies, and randomized clinical trials.
Hector Gomez
Professor, School of Mechanical Engineering,
Purdue University, USA
Hector Gomez is a distinguished faculty member at Purdue University, serving as a Professor in the School of Mechanical Engineering and by courtesy in the Weldon School of Biomedical Engineering. His research interests lie in computational engineering and medicine. Prof. Gomez has received numerous accolades, including the USACM Fellow Award (2023), the Gallagher Young Investigator Award (2017), and the Princess of Girona Scientific Research Award (2017). He has also been recognized by the MIT Technology Review as an Innovator under 35 (2014) and has received an ERC Starting Grant (2012). Prof. Gomez completed his PhD in Civil Engineering, receiving multiple awards for his outstanding thesis work.
Giovanna Guidoboni
Professor, Dean of the Maine College of Engineering and Computing,
The University of Maine, USA
Giovanna Guidoboni graduated from the University of Ferrara (Italy) with a PhD in Mathematics and an MS in Engineering of Materials. Before joining the University of Maine in 2023, Giovanna Guidoboni served on the faculty of the University of Houston (TX), Indiana University Purdue University Indianapolis (IN), Université de Strasbourg (France), and the University of Missouri (MO).
Giovanna Guidoboni's research focuses on mathematical modeling and data science applied to engineering and life sciences and she has active collaborations in modeling ocular blood flow and risk factors associated with ocular diseases, function of the lower urinary tract, and noninvasive health monitoring. Giovanna Guidoboni's research has been funded by the National Science Foundation, the National Institute of Health, and the European Commission. Giovanna Guidoboni is a member of the European Academy of Sciences and Arts, co-founder of Modeling and Artificial Intelligence in Ophthalmology.
Alex Leow
Professor in Psychiatry and Bioengineering,
University of Illinois Chicago, USA
Alex Leow is a tenured Professor in the Departments of Psychiatry, Biomedical Engineering, and Computer Science at the University of Illinois at Chicago (UIC) and an attending physician at the University of Illinois Hospital.
With both a doctoral degree in applied mathematics and a medical board certification in adult psychiatry, Dr. Leow's research efforts have included both the development of computational methods and their translational applications in neurological and psychiatric conditions.
As a co-founder of the Computational Neuroimaging and Connected Technology (CoNeCt) lab, Dr. Leow is the principal investigator of the BiAffect study, the first scientific study that seeks to turn smartphones into “brain fitness trackers”, by leveraging passively-collected keyboard metadata collected from the virtual keyboard of a smartphone. Dr. Leow and her research have been extensively featured in the news, including Chicago Tribune, Chicago Tonight, Forbes, the Wall Street Journal, the Associated Press news, the Rolling Stone, IEEE EMBS society, WBEZ Public Radio, Block Club Chicago, NPR All Things Considered, WCIU/CW26, FreeThink, and TEDxChicago.
Thomas Yankeelov
Professor, Director of Center for Computational Oncology, Biomedical Engineering,
University of Texas Austin, USA
Tom Yankeelov received an MA in Applied Mathematics and an MS in Physics from Indiana University, before completing the PhD in Biomedical Engineering at SUNY@Stony Brook. He completed his post-doc at the Vanderbilt University Institute of Imaging Science and climbed the ranks to Full Professor in 2010. He then joined the faculty at The University of Texas at Austin in 2016 where he is now the Moncrief Chair of Computational Oncology and Professor of Biomedical Engineering, Diagnostic Medicine, and Oncology. Dr. Yankeelov is the founding Director of the Center for Computational Oncology, and also serves as co-Director for the Quantitative Oncology Research Program and Director of Cancer Imaging Research within the Livestrong Cancer Institutes at UT Austin. He is also an Adjunct Professor of Imaging Physics at MD Anderson Cancer Center. The overall goal of Dr. Yankeelov's research is to develop tumor forecasting methods by integrating advanced imaging technologies with predictive models of tumor growth to optimize therapy on a patient-specific basis. This is accomplished by dividing his efforts into approximately equal parts mathematical modeling, pre-clinical development, and implementation in clinical trials.