I am an Associate Professor in the Department of Biomedical Engineering at Johns Hopkins University, with joint appointments in Applied Mathematics and Statistics, Computer Science, Electrical and Computer Engineering, Neuroscience, and Biostatistics. Our research focuses primarily on the intersection of natural and artificial intelligence. We develop and apply high-dimensional nonlinear machine learning methods to biomedical big data science challenges. We have published about 200 papers in prominent scientific and engineering venues, with >12,000 citations and an h-index >45. Our group is one of the few in the world that regularly publishes in both top scientific (e.g., Nature, Science, Cell, PNAS, eLife) and top artificial intelligence (e.g., JMLR, Neurips, ICML) venues. We have received funding from the Transformative Research Award from NIH, the NSF CAREER award, Microsoft Research, and many other government, for-profit and nonprofit organizations. I have advised over 60 trainees, and taught about 200 students in my eight years as faculty. In addition to my academic work, I co-founded Global Domain Partners, a quantitative hedge fund that was acquired by Mosaic Investment Partners in 2012, and software startup Gigantum, which was acquired by nVidia in early 2022. I live in the Chesapeake Bay Watershed with my beloved eternal wife and our three children.

Olaf Sporns is a Distinguished Professor in the Department of Psychological and Brain Sciences at Indiana University in Bloomington. His main research area is theoretical and computational neuroscience, with a focus on complex brain networks. In addition to numerous peer-reviewed journal articles he has authored two books, Networks of the Brain and Discovering the Human Connectome. 

Martin Lindquist is a Professor of Biostatistics at Johns Hopkins University. His research focuses on mathematical and statistical problems relating to functional Magnetic Resonance Imaging (fMRI). Dr. Lindquist is actively involved in developing new analysis methods to enhance our ability to understand brain function using human neuroimaging. He has published over 100 articles, and serves on the editorial boards of several scientific journals both in statistics and neuroimaging. He is a fellow of the American Statistical Association. In 2018 he was awarded the Organization for Human Brain Mapping's 'Education in Neuroimaging Award' for teaching statistical issues to the neuroimaging community and the development of online classes that have taught fMRI methods to more than 100,000 students world-wide.

Dr. Hongtu Zhu is the Kenan Distinguished Professor of Biostatistics, Statistics, Radiology, Computer Science, and Genetics at the University of North Carolina at Chapel Hill. He was a DiDi Fellow and Chief Scientist of Statistics at DiDi Chuxing between 2018 and 2020 and held the Endowed Bao-Shan Jing Professorship in Diagnostic Imaging at MD Anderson Cancer Center between 2016 and 2018. He is an internationally recognized expert in statistical learning, medical image analysis, precision medicine, biostatistics, artificial intelligence, and big data analytics. He received an established investigator award from the Cancer Prevention Research Institute of Texas in 2016, the INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice in 2019, the IMS 2027 Medallion award and Lecture,  the ICSA 2025 Distinguished Achievement Award,  and the COPSS 2025 Snedecor Award. He has published more than 342 papers in top journals, including Nature, Science, Cell, Nature Genetics, Nature Communication, PNAS, AOS, JASA, Biometrika, and JRSSB, as well as presenting 58+ conference papers at top conferences, including meetings for Neurips, ICLR, ICML, AAAI, and KDD. He is the coordinating editor of JASA and the editor of JASA ACS.