James spearheads new opportunities—technologies, computational methods, and collaborations—that bridge the gap between the scientific and technological efforts at Phenome Health. He helps lead the architecture and implementation of the Phenome Core cloud infrastructure and technology platform that supports the scientific discovery and return of results. James’ role at Phenome Health is to lead efforts in machine learning (ML) and artificial intelligence (AI), bridging the gap between computer science and biology. His interdisciplinary background spans mechanistic modeling, machine learning, network analysis, and dynamical systems theory. James holds a BS in Electrical Engineering from the University of Notre Dame and a PhD in Bioinformatics and Systems Biology from the University of California San Diego, before completing a Faculty Fellowship at the Institute for Systems Biology in Seattle. He then transitioned into the biotech industry by joining the pharmaceutical company Biosplice Therapeutics (formerly Samumed) to build and lead a systems biology division focused on understanding the healthy functioning and aging of the human musculoskeletal system. James is also an Adjunct Professor in the Department of Bioengineering at the University of Texas at Dallas, where he serves on the Industrial Advisory Committee.