KEYnote speakers

---

Debra JH Mathews, PhD, MA, is the Associate Director for Research and Programs for the Johns Hopkins Berman Institute of Bioethics, and a Professor in the Department of Genetic Medicine, Johns Hopkins University School of Medicine. Dr. Mathews runs the Genomics and Society Mentorship Program and serves as the Chair of the Berman Institute’s Inclusion, Diversity, Anti-Racism, and Equity (IDARE) Committee. Within the Institute for Assured Autonomy (IAA), Dr. Mathews serves as the Ethics & Governance Lead. In this role, she leads work focused on the ethical, societal, and governance implications of autonomous systems, and identifies opportunities across IAA for the integration of ethics and governance work and priorities.

Dr. Mathews’s academic work focuses on ethics and policy issues raised by emerging technologies, with particular focus on genetics, stem cell science, neuroscience, synthetic biology, and artificial intelligence. Dr. Mathews is a member of the steering committee of The Hinxton Group, an international collective of scientists, ethicists, policymakers and others, interested in ethical and well-regulated science, and whose work focuses primarily on stem cell research. She has been an active member of the International Neuroethics Society since 2006, has been on the Society’s Board of Directors since 2015, and is currently serving as President of the Society. In addition to her academic work, Dr. Mathews has spent time at the Genetics and Public Policy Center, the US Department of Health and Human Services, the Presidential Commission for the Study of Bioethical Issues, and the National Academy of Medicine working in various capacities on science policy.

Dr. Mathews earned her PhD in genetics from Case Western Reserve University, as well as a concurrent Master’s in bioethics. She completed a Post-Doctoral Fellowship in genetics at Johns Hopkins, and the Greenwall Fellowship in Bioethics and Health Policy at Johns Hopkins and Georgetown Universities.

Michael Feldman, MD, PhD, is an Endowed Chair Professor and the Chairman of the Department of Pathology & Laboratory Medicine at Indiana University School of Medicine in Indianapolis. Dr. Feldman's professional interests revolve around the development of institutional biobanking as well as the integration and adoption of information technologies in the discipline of healthcare, and particularly pathology. His research and technology interests are generally focused on bringing technology and tools out to clinical care but have widened to now thinking about this at the enterprise level and how to accommodate a wider range of needs, interests, capabilities, and varying enthusiasm for change.

Dr. Feldman's work in the field of tissue banking included being an early funded adopter and tester in the NCI caBIG project, where they partnered on the testing of caTissue with the University of Pittsburgh and were the first cancer center using both caTissue and caTIES. caTIES has now morphed into a multicenter Tissue Collaborative Research Network (TCRN) and is NIH funded.

In the field of digital image analysis, Dr Feldman has been funded by the NIH, Synergy award from DOD, as well as industry-sponsored projects on several fronts including interactions between pathology/radiology (Radio-patho-genomics of prostate cancer and breast carcinoma), development and utilization of computer assisted diagnostic algorithms for machine vision in prostate and breast cancer. More recently he has been involved in the development of deep learning methods for complex interrogation of pathology slides both within the cancer domain, as well as in cardiovascular and renal pathology. He is also interested in solid tumor minimal residual disease. In this area he has been studying disseminated tumor cells (DTC) in the bone marrow of high-risk breast cancer patients. Using flow cytometry his group has developed high throughput flow to elucidate residual tumor burden in these patients. Randomized clinical trials are now in place to target these cells focusing on autophagy, MTOR and cMET pathways to interrupt these pathways that have been shown to play a role in DTC survival in both animal models, as well as single cell sequencing studies in these high-risk patients. 

Dr. Feldman earned his MD, PhD in Pathology from Rutgers University. He completed a Post-Doctoral Fellowship in immunology at University of Pennsylvania. Before joining IU he has been acting as the Vice Chair for Clinical Services at the Department of Pathology of the Perelman School of Medicine at the University of Pennsylvania.

Peter Mattson, PhD, is the President of the Board of the MLCommons Association, a board member at the AI Verify Foundation, and a Senior Staff Engineer at Google. On the MLCommons board, he sits on the Compensation and Diversity, Equity, and Inclusion (DEI) committees. Dr. Mattson is also actively involved in the technical leadership of MLCommons, where he is currently Co-chair of the MLCommons AI Safety Benchmarking Working Group. In this role, Dr. Mattson is leading the effort to define global standard benchmarks for AI safety; he has given invited briefings on the effort to the NTIA, NIST, OSTP, US AISI, EU AI Office, and Singapore’s IMDA. He previously co-founded the working groups for the MLPerf hardware speed benchmark, the MedPerf federated evaluation platform for healthcare, and the Croissant dataset metadata format. 

Dr. Mattson’s research focuses on evaluating the safety, quality and effectiveness of models and understanding how improving datasets can drive better training and evaluation. He is actively involved in the program committees of NeurIPS Datasets and Benchmarks track and the ICML DMLR workshop, as well as serving as a founding editor of the Journal of Data Central Machine Learning. Dr. Mattson sits on the National Science Foundation’s Advisory Committee for Cyberinfrastructure. Previously, he led the Programming Systems and Applications Group at Nvidia Research, was VP of software infrastructure for Stream Processors Inc (SPI), and was a managing engineer at Reservoir Labs. 

Dr. Mattson earned his PhD in electrical engineering from Stanford University, as well as a Master’s degree in electrical engineering. While there, he received concurrent National Science Foundation and Stanford Graduate Fellowships. He also earned a Bachelor of Science degree in electrical engineering from the University of Washington.