Please see biographies of our speakers below.

AI Platforms

Dr. Jay Debnath
Dr. Ki Lai
Dr. Murray

 

Jayanta Debnath, MD

Jayanta Debnath, MD, is Distinguished Professor and Chair, Department of Pathology, University of California, San Francisco, and a member of the UCSF Helen Diller Family Comprehensive Cancer Center, Bakar Immuno-X Program and Bakar Aging Research Institute. Recognized for his expertise in autophagy and cancer, Dr. Debnath’s lab focuses on how autophagy influences breast cancer progression, metastasis, and late recurrent disease in vivo, and how the core autophagy machinery can be targeted for therapeutic benefit. Dr. Debnath currently serves as an Editor of Autophagy, Annual Reviews of Pathology, Genes and Development and the 11th Edition of Robbins Pathologic Basis of Disease. His honors include the HHMI Early Career Award for Physician Scientists, AACR/Genentech Bio-Oncology Career Award, DOD Breast Cancer Research Program Era of Hope Scholar Award, American Society of Cell Biology Keith Porter Fellowship, American Society of Investigative Pathology Outstanding Investigator Award and elected membership to the American Society of Clinical Investigation, American Association of Physicians and Association of University Pathologists (Pluto Society). He earned his MD from the Harvard Medical School in 1998.

Ki Lai, MS

As VP & Chief Data Officer, Ki leads the development, implementation, and ongoing operation of an enterprise-wide analytics strategy aligned with UCSF's institutional priorities supporting the education, research, and care mission areas. He collaborates with a broad array of leaders across UCSF in further enhancing access to and use of data, analytics, and AI, including appropriate data governance, stewardship, and innovation in a manner that meets the unique needs across the institution's mission areas. Before joining UCSF in 2021, Ki served as Chief Data Officer for UT Southwestern Medical Center in Dallas, TX.

Sara Murray, MD

Sara Murray, MD, MAS, is Vice President, Chief Health AI Officer for UCSF Health. She also serves as Associate Chief Medical Information Officer for Inpatient Care at UCSF Health.  She is Associate Professor of Clinical Medicine and Associate Chief for Health System Partnerships in the Division of Clinical Informatics and Digital Transformation (DoC-IT).

Dr. Murray is a strategic health system leader for informatics, digital health, and data science.  Her team builds infrastructure and governance processes to ensure deployment of impactful and ethical AI, evaluates commercially available tools and algorithms for trustworthiness prior to implementation, and develops new machine learning models to address pressing health system problems.  She is responsible for the overall vision and strategy for the use of AI at scale to transform healthcare delivery at UCSF Health and beyond. She spends her clinical time attending on the hospital medicine service.

Rima Arnaout, MD
Talk: What Happens When Machine Learning Stops Being Polite...And Starts Getting Real

Dr. Rima ArnaoutDr. Rima Arnaout is Associate Professor of Medicine, Radiology and Pediatrics, a Chan Zuckerberg Biohub investigator, and faculty in the Bakar Computational Health Sciences Institute and the Center for Intelligent Imaging at UCSF, the Biological and Medical Informatics Graduate Program, and the UCSF-UC Berkeley Joint Program in Computational Precision Health. She is investigating whether machine learning can be used to detect standard and novel patterns in cardiac ultrasound in a scalable fashion, with the goals of decreasing diagnostic error in medical imaging and uncovering new phenotypes for precision medicine research. She is an American Institute for Medical and Biological Engineering Fellow and an Emerging Leader in Healthcare and Medicine at the National Academy of Medicine. She completed her undergraduate degree at MIT, her MD at Harvard Medical School, residency at Massachusetts General Hospital, and cardiology fellowship at UCSF.

Sarah Beck, Maria Byron, MD, and Susan Smith, MD
Talk: Keyboard Liberation with AI Scribes

Dr. Susan SmithDr. Susan Smith is a family doctor who cares for patients of all ages. She is a Professor in the Department of Family and Community Medicine and the outgoing Chief Faculty Practices officer and Senior Vice President of UCSF Health and has a particular interest in improving the health care experience for patients, staff members and physicians. Dr. Smith earned her medical degree from Northwestern University Feinberg School of Medicine. She completed her postdoctoral training at UCSF.

Dr. Maria ByronDr. Maria Byron is a specialist in internal medicine and clinical informatics, and a primary care doctor. She is an Associate Professor in the Division of General Internal Medicine as well as the Division of Clinical Informatics and Digital Transformation. She serves as the Associate Chief Medical Information Officer for Ambulatory Care at UCSF Health. Dr. Byron works to design and implement solutions from the field of information science that support quality improvement, data analysis, and patient, physician and staff experience. Dr. Byron received her medical degree from the University of Washington School of Medicine. She then completed a residency in internal medicine at UCSF.

Sarah BeckSarah Beck serves as the Administrative Director of Clinical Optimization and Innovation in the Faculty Practice Organization. With over four years of experience, she has successfully managed the Scribe Program at UCSF and played a crucial role in onboarding the university's first completely-AI scribe vendor. She holds a Master of Divinity from the University of Chicago.

 

 

Priya Joshi, MD
Talk: Next Level: Personal Health Coach

Dr. Priya JoshiPriya Joshi is a general medicine doctor as well as the Chief Health Informatics Officer of the San Francisco VA Healthcare System. She works across federal agencies to transform the point of care through novel technologies, from ambient documentation and AI Health Coaches to integrated grocery delivery platforms. Her job is to understand how technology fits into the gaps between clinical goals and operational workflow, ensuring clinicians aren't forced to adopt the limitations of technical workflows, but instead, able to seamlessly access technology that works for them when and where it's useful.

Andreas Rauschecker, MD, PhD
Talk: AI for Making Radiologists Better, Faster, and More Confident

Dr. Andreas RauscheckerAndreas Rauschecker is Assistant Professor in the Department of Radiology at UCSF.  Prior to UCSF, Dr. Rauschecker completed a Master's in Neuroscience at Oxford.  He received his MD/PhD at Stanford with a PhD in Neuroscience, where he used advanced imaging to study the organization of the human brain's visual system.  He went on to do his Radiology Residency at UPenn, also completing a Fellowship in Informatics during this time.  At UCSF, he completed a T-32 sponsored research fellowship in addition to his clinical neuroradiology fellowship prior to joining the faculty.  In addition to being a practicing neuroradiologist, he is PI of the BRAIN lab at UCSF, which focuses on developing algorithms to analyze and quantify clinical brain MRI in the context of a variety of pathologies.  He is Co-Executive Director and Clinical Director of UCSF's Center for Intelligent Imaging.  He serves as co-chair of UCSF's Research Data Science Council. 

UCSF Computing Ecosystem

Dr. Tony Capra
Dr. Sharat Israni
Mandy Terrill

 

Tony Capra, PhD

Dr. John A. (“Tony”) Capra is Head of the Division of Bioinformatics and an Associate Professor in the Department of Epidemiology and Biostatistics and the Bakar Computational Health Sciences Institute at the University of California San Francisco (UCSF). He is also the co-Director of the UCSF Biological and Medical Informatics PhD program. His research group has three main foci: 1) using machine learning to understand the genetics of recent human evolution and disease, 2) integrating population genetics and structural biology, and 3) analyzing electronic health records (EHR) to yield insight into disease progression and heterogeneity. Dr. Capra’s group pioneered the analysis of EHR data in evolutionary genomics, and this enabled them to demonstrate that DNA derived from interbreeding between Neanderthals and human ancestors influences diverse traits in many modern human populations. Dr. Capra received a PhD in computer science from Princeton University under the supervision of Mona Singh. He completed a postdoc in the group of Katherine Pollard at the Gladstone Institutes and UCSF.

Sharat Israni, PhD

Sharat Israni, PhD, is an NIH Data Scholar at NCATS Biomedical Translator,  CTO of UCSF’s Bakar Institute (which is building UCSF’s Information Commons next-gen research computing capability) and Dir of Research Computing at UC Davis Center for Precision Medicine.  Previously, he was Executive Director, Data Science at Stanford Medicine. A long-serving Technology executive, Sharat has served as SVP/VP of Data at Yahoo! and Intuit, which pioneered Data Science/AI to re-invent their products. He led Digital Media systems for broadcast/interactive TV at Silicon Graphics; and data teams at IBM and HP.  Sharat is a frequent reviewer at refereed journals and grant proposals, and was PI for the NITRD organized Open Knowledge Network workshop.

Mandy Terrill

Mandy Terrill, the Associate Chief Information Officer for Research at the University of California, San Francisco (UCSF), is a seasoned leader in information technology with a focus on supporting research at academic medical institutions. Leading the Academic Research Services (ARS) team, Mandy plays a vital role in aligning UCSF's IT services with the dynamic needs of the research community. With nearly a decade of experience at Oregon Health & Science University (OHSU), where she held positions including Director of Research Applications and Technology, Mandy demonstrated expertise in IT infrastructure management, software development, and team leadership. Her commitment to advancing research technology is evident in her strategic oversight, ensuring researcher needs are at the forefront. Holding a master's degree in Information Technology Leadership and Project Management from Northeastern University, with hands-on experience and acquired skills in supporting research, IT infrastructure management, and cross-functional team leadership ensuring the goal of driving innovation and efficiency in healthcare and research.

Tanja Kortemme, PhD
Talk: Generative AI for Molecular & Cellular Design

Dr. Tanja KortemmeTanja Kortemme, PhD, is a professor in the Department of Bioengineering and Therapeutic Sciences and a Chan Zuckerberg Biohub Investigator. Her research seeks to invent approaches to engineer new biological functions at multiple scales, ranging from atomic details of macromolecular interactions to cellular processes. By building new functions through a combination of computational design, artificial intelligence, and experimental engineering, Dr. Kortemme seeks to learn how molecular design principles shape systems-level properties of biological functions. Dr. Kortemme received her PhD (Dr. rer. nat.) in Biochemistry and Biophysics from EMBL Heidelberg and the University of Hannover, Germany, and conducted research as an EMBO and Human Frontier Science Program Fellow at the University of Washington Seattle. She is a recipient of an NSF CAREER award, a Sloan Foundation award in Molecular Biology, and an elected Fellow of the American Institute for Medical and Biological Engineering.

Christina Theodoris, MD, PhD
Talk: Foundation AI Models for Gene Network Biology

Dr. Christina TheodorisChristina Theodoris, MD, PhD is an Assistant Investigator at Gladstone Institutes and University of California, San Francisco (UCSF). In her undergraduate research at the California Institute of Technology, she worked in the Eric Davidson Lab studying gene regulatory networks in early development. In her MD/PhD research at UCSF, she developed an innovative network-based approach to therapeutic design leveraging machine learning and iPS cell disease modeling, which ultimately identified a candidate therapy for cardiac valve disease, currently under further development toward clinical trial. As a postdoctoral fellow at the Broad Institute of MIT and Harvard and Dana-Farber Cancer Institute, she developed a foundational AI model, Geneformer, pretrained on 30 million single-cell transcriptomes to enable context-specific predictions in gene network biology through transfer learning. The Theodoris Lab develops AI models that leverage the unprecedented volume of transcriptomic and epigenomic data now available to gain a fundamental understanding of network dynamics that can be democratized to a vast array of downstream

Travis Zack, MD, PhD
Talk: Revolutionizing Clinical Trial Screening: Showcasing the Infrastructure Allowing UCSF’s AI Future

Dr. Travis ZackTravis Zack is an Oncology Fellow at the Helen Diller Family Comprehensive Cancer Center. Dr. Zack earned a PhD in the field of Biophysics developing algorithms to identify driver genes within large cancer genomics datasets. Transitioning to UCSF for his residency and fellowship, Dr. Zack has since been an integral part in ML/AI development and implementation at the Bakar Institute and HDFCCC in his role as a member of Dr. Atul Butte laboratory, focusing on leveraging our large database of structured and unstructured EHR data for questions in clinical oncology. His projects have spanned from phenotype characterization of rare tumors to understanding racial bias in clinical applications of LLM.

Ensuring Trustworthy AI

Joe Bengfort
Dr. Marc Kohli
Dr. Murray
Dr. Tung Nguyen
Dr. Mark Pletcher
Ida Sim, MD, PhD

 

 

Joe Bengfort

Joe R. Bengfort serves as the Enterprise Chief Information Officer for UCSF, holding the position of Senior Vice President of Information Technology (IT) for UCSF Health. Additionally, he is an Associate Vice Chancellor for UCSF. In his role, Bengfort oversees IT strategy and operations for UCSF Health, including research, education, administrative systems, data analytics, infrastructure, customer support services, and security for UCSF. He represents UCSF in IT initiatives across the University of California system. With a career spanning over 22 years at Perot Systems before joining UCSF in 2011, Bengfort held senior leadership positions managing client relationships and service delivery at institutions like Parkland Memorial Hospital, Lucile Packard Children's Hospital Stanford, Triad Hospitals, and Stanford Health Care. He holds a bachelor's degree in electronic engineering technology from Texas A&M University.

Marc Kohli, MD

Marc Kohli, MD is Professor of Radiology and Biomedical Imaging, Medical Director of Imaging Informatics for UCSF Health, and the Associate Chair of Clinical Informatics for the Department of Radiology and Biomedical Imaging.Marc has collaborated on > 10 peer-reviewed publications regarding AI focusing on ethics and trustworthy implementation, including a multi-society collaboration on ethics published in 2019. Marc chairs the UCSF IT Governance Steering Committee in partnership with Joe Bengfort. Marc also sits on the Health IT Executive Governance committe through his role as Clinical and Operational Chair of the Enterprise Imaging Portfolio. Marc has an extensive record of service to informatics former Chair of the Board of Directors for the Society of Imaging Informatics in Medicine (SIIM).

He has given more than 100 invited lectures on informatics at national conferences, as well as numerous international lectures.  One of his YouTube videos on radiology informatics has been viewed over 24,000 times since 2014, and is used for imaging informatics education around the globe.

Sara Murray, MD

Sara Murray, MD, MAS, is Vice President, Chief Health AI Officer for UCSF Health. She also serves as Associate Chief Medical Information Officer for Inpatient Care at UCSF Health.  She is Associate Professor of Clinical Medicine and Associate Chief for Health System Partnerships in the Division of Clinical Informatics and Digital Transformation (DoC-IT).

Dr. Murray is a strategic health system leader for informatics, digital health, and data science.  Her team builds infrastructure and governance processes to ensure deployment of impactful and ethical AI, evaluates commercially available tools and algorithms for trustworthiness prior to implementation, and develops new machine learning models to address pressing health system problems.  She is responsible for the overall vision and strategy for the use of AI at scale to transform healthcare delivery at UCSF Health and beyond. She spends her clinical time attending on the hospital medicine service.

Tung Nguyen, MD

Dr. Nguyen is Professor of Medicine at UCSF where he conducts research on achieving health equity using community-based participatory research (CBPR), patient-centered outcomes research (PCOR), and other stakeholder-engaged methods. He has conducted intervention research using social networks, patient navigation, traditional media, and mobile application with culturally and linguistically diverse populations on many health topics.

Dr. Nguyen is UCSF Associate Vice Chancellor of Research Inclusion, Diversity, Equity, and Anti-racism (IDEA), a principal investigator of the UCSF Clinical and Translational Sciences Institute (CTSI), and a co-leader of the Cancer Control Research Program at the Helen Diller Family Comprehensive Cancer Center, where he is also the Associate Director of diversity, equity, inclusion, and accessibility.

Mark Pletcher, MD, MPH

Mark Pletcher, MD, MPH, is Professor and Chair of Epidemiology and Biostatistics at UCSF, and Director of the UCSF CTSI’s Informatics and Research Innovation Program.  His research program is focused on using emerging technology to improve health.  Dr. Pletcher helped launch the APeX-Enabled Research (AER) Program at UCSF, which helps investigators design and build modifications to APeX for health system-embedded research projects, and an AI Pilots program in collaboration with the Bakar Institute and the Health System.

Ida Sim, MD, PhD

Ida Sim, MD, PhD is Professor of Medicine and Computational Precision Health, Co-Director of the UCSF UC Berkeley Joint Program in Computational Precision Health, UCSF’s first Chief Research Informatics Officer, and a primary care physician. Dr. Sim’s research focuses on technology and policies for large-scale data sharing of health data. She is Co-founder of Open mHealth, a nonprofit organization that defines an IEEE global open standard for patient-generated health data interoperability, and Co-Founder of Vivli, the world's largest data sharing platform for participant-level clinical trial data. Dr. Sim is a member of the National Academy of Medicine and the American Society for Clinical Investigation, a Fellow of the American College of Medical Informatics, and a recipient of the United States Presidential Early Career Award for Scientists and Engineers (PECASE).

Beth Berrean
Talk: AI Training Pathways at UCSF

Beth BerreanBeth is a key member of the UCSF School of Medicine Dean’s Office Technology Group, SOM Tech, currently supporting Ida Sim in her role as CRIO. She specializes in transforming faculty and leadership ideas into viable digital products and services. Beth excels in providing internal innovators with executable roadmaps, leveraging participatory design methods, and working with diverse populations. With a 20-year background in human-centered design across various technologies, she brings depth and breadth of expertise to her role. Beth was part of the pioneering cohort in CCA’s Design Strategy MBA program, enhancing her strategic approach to design. She also holds a master’s in library science, which she playfully incorporates into her work.

Polo Black-Golde
Talk: A Quick Win is a Building Block: Using AI to Flag DEI Concerns

Polo Black-GoldeAs the Director of Data and Analytics in the School of Medicine, Polo leads analytics for medical education. Before UCSF, he worked in learning analytics at the NYU School of Medicine, and in bioethics at The Hastings Center. He has bachelors degrees in chemistry and philosophy from Williams College, and currently lives in Brooklyn.

 

 


 

Jessica Blair-Driessler, RACR, MBA
Talk: AI in HR—Talent Identification and Recruitment

Dr. Jessica Blair-DriesslerJessica has an MBA from Golden Gate University, Yale School of Management Executive Education, LEAN Certified Practitioner and received Recruiter Certification from LinkedIn and Workforce Planning from the Lean Human Capital Institute. She is responsible for leading a team of forty talent scouts that assist UCSF and UCSF Health to attract top talent. She is the Co-Director of Advancing Excellence in Staff Recruitment supporting UCSF’s Anti-Racism Initiative, serves as a Board Member at San Francisco Office of Economic and Workforce Development Information and Communications Technology Committee, Bay Area Council Gender, Diversity & Inclusion Committee, San Francisco Chamber of Commerce’s Job Forum, and Healthcare Anchor Network focusing on tackling the underlying economic and racial disparities in public health. She is an active member of several committees including Differences Matter, Eliminating Workforce Disparities, Council on Campus Climate, Culture, and Inclusion (4CI), and Chair of the Chancellor Awards for University Service and Management.

Christian Burke
Talk: The Role of Generative AI in Personalized Medical Education

Christian BurkeChristian Burke is the Director of Technology Innovations in the Technology Enhanced Education group in the UCSF School of Medicine focused on educational technology for medical education. He leads efforts to enhance the teaching and learning in the School of Medicine using innovative technologies, instructional design, and evidence-based pedagogy. His current efforts focus on new technology to enhance remote and online learning, developing agile R&D efforts to quickly enhance the curriculum, and investigating how Generative AI can create personalized medical education. He develops and leads others in using human-centered design and innovative technologies for teaching and learning. He’s a trained architect, design thinker, with a long-term habit of writing stories and drawing pictures.