BIO
Mark Graves is a technical advisor at AI+Compassion with fifteen years experience in developing software, informatics, and data science solutions for healthcare and the pharmaceutical industry. After earning his Ph.D. in computer science at the University of Michigan focusing on artificial intelligence, he completed fellowships in genomics, moral psychology, and moral theology, and has held adjunct teaching and/or research positions at Baylor College of Medicine, Graduate Theological Union, Santa Clara University, University of California Berkeley, Fuller Theological Seminary, California Institute of Technology, and University of Notre Dame. His academic research includes over sixty technical and scholarly publications, and most recently is oriented toward understanding and modeling human morality, philosophical and psychological foundations for constructing moral AI, and ethical approaches to data science and machine learning. His recent industry work uses data science, machine learning, and natural language processing (NLP) to extract information from electronic medical records and other healthcare data and documents with a focus on improving health equity and the ethical use of AI.