Jessilyn Dunn, PhD, is an Associate Professor of Biomedical Engineering and Biostatistics & Bioinformatics at Duke University. She directs the BIG IDEAs Lab, which is focused on digital health innovation, wearable sensors, and the development and validation of AI-driven digital biomarkers. Dr. Dunn is the Principal Investigator of research initiatives funded by the NIH, NSF, and FDA which are developing digital biomarkers of conditions ranging from pre- and type 2 diabetes to influenza-like illness to Opioid Use Disorder. She sits on the Google Consumer Health Advisory Panel and is a recipient of the NSF CAREER Award and the IEEE EMBS Early Career Achievement Award for her leadership and innovation across engineering and medicine.

Dr. Guangyu Wang holds joint faculty appointments at Houston Methodist Research Institute and Weill Cornell Medical College, where he serves as Associate Professor and Director of the Center for Bioinformatics and Computational Biology (CB2). Trained in both mathematics and bioinformatics, his research integrates artificial intelligence with large-scale biomedical data to advance precision medicine in cardiovascular disease and cancer. His laboratory develops multimodal foundation models that connect histopathology, spatial transcriptomics, and multi-omics profiling to decode tissue architecture and cellular state at scale.

At CB2, Dr. Wang leads a cross-disciplinary team of computational scientists and biomedical researchers who design scalable AI systems for tissue analysis, risk stratification, and therapeutic response prediction. His work emphasizes biologically grounded modeling, leveraging foundation models and integrative analytics to translate complex molecular and imaging data into clinically actionable insights. 

Michael Yip is an Associate Professor of Electrical and Computer Engineering at UC San Diego, Director of the Advanced Robotics and Controls Laboratory (ARCLab), and Director of the Healthcare and Medical Robotics Collaboratory at the UCSD Contextual Robotics Institute. His group currently focuses on surgical robots and robot learning. 

His research has received several best paper awards and nominations at top robotics and AI conferences, and he has been recognized by the NSF CAREER award, NIH Trailblazer award, and as an IEEE Robotics and Automation Soceity Distinguished Lecturer. Several of his research projects have led to the founding of startups. He was named the Faculty Innovator of the Year at UC San Diego in 2024 and elected into the U.S. National Academy of Inventors. 

Dr. Yip was previously a Research Associate with Disney Research in 2014 and a Resident Faculty at Amazon Robotics in 2018. He received a B.Sc. in Mechatronics Engineering from the University of Waterloo, an M.S. in Electrical Engineering from the University of British Columbia, and a Ph.D. in Bioengineering from Stanford University. 

Jakob Kather is Professor of Medicine and Computer Science at Dresden University of Technology and serves as a senior medical oncologist at University Hospital Dresden. He is also affiliated with the National Center for Tumor Diseases (NCT) in Heidelberg. Prof. Kather’s research focuses on applying AI to precision oncology. His team uses deep learning to analyze clinical data such as histopathology, radiology, text records, and multimodal datasets.