Dear DBDS,It is with deep sorrow that I write to inform you of the passing of Professor Richard Allen Olshen on November 8, 2023.Professor Olshen will be forever remembered for his pioneering research in the field of statistics and his unyielding passion for academia, especially to our shared mission at Stanford University. Richard played a significant role in advancing statistical learning, notably through his influential work on regression and classification trees. His internationally acclaimed and pioneering work spanned various domains, including gait analysis, digital radiography, and, in more recent years, molecular genetics. As the division chief of Biostatistics in the Department of Health Research and Policy, his leadership, especially in the shaping of biostatistics at Stanford, will be fondly remembered. Professor Olshen was a key figure in the development of the Biostatistics Workshop (predecessor to the weekly department seminar series in DBDS) and Data Studio. His many contributions will leave a lasting imprint on our School of Medicine and Stanford University.Richard Olshen was born in Portland, Oregon, on May 17, 1942. After completing his undergraduate training at UC Berkeley, he attended Yale University, where he earned his Ph.D. in Statistics in 1966 under the guidance of L.J. Savage. In 1967, he came to Stanford University, marking the beginning of a lifelong connection with our institution. In 1975, Professor Olshen left the Stanford family to join the faculty of the Mathematics Department at UC San Diego. However, his heart remained with Stanford, and he returned in 1989.Richard Olshen was a passionate mentor to many. In addition to his academic accomplishments, Richard was also a dedicated husband, nurturing father, and doting grandfather. Although we deeply mourn his loss, his influence on our field and the memories of his wisdom and candor will remain as an everlasting tribute. We will provide further information on how to honor his memory with his family once it becomes available. In lieu of flowers, the family prefers donations in honor of his memory to the charity of your choice.Sincerely,Sylvia
Kevin Wu
Wednesday, November 8th, 2023
2:00 pm – 3:00 pm PST
CCSR 0235
Zoom Link: https://stanford.zoom.us/j/95984592133?pwd=MDRXcyt4eTlCVlZhdHZYZ0prLzBGZz09
Title: Medical AI After Deployment: Data-driven analyses and methods for clinically viable AI
Abstract: Medical AI algorithms have undergone significant development and regulatory approval, with over 600 FDA-approved medical AI devices currently. However, their actual clinical safety and impact remain unclear. First, we analyze FDA submission documents and find that the majority of FDA approvals do not report multi-site evaluation, and nearly none have prospective analyses. Second, we track the occurrences of newly released AI billing codes in a nationwide insurance claims database and find that only a handful of products have meaningful clinical adoption. Finally, we systematically track device updating in FDA submissions and find that the majority of devices have not had updates to model weights since initial approval. Given these limitations, we propose several methods to address common issues with algorithmic deployment. First, we present a framework for understanding the marginal contribution of distribution shifts to overall model degradation. Second, we present a method for efficient missing data collection in the context of fixed models. Finally, we present ways to improve the robustness of evaluating medical LLMs.
Faculty Opening: Assistant Professor of Biomedical Data Science
Work type: University Tenure Line
Location: Stanford University
Categories: School of Medicine
The Department of Biomedical Data Science (DBDS) at Stanford University seeks two faculty members to join the Department as Assistant Professors on the University Tenure Line. One of these faculty will be additionally jointly appointed as a Core Investigator at the Arc Institute. The successful candidates will be expected to contribute creatively and in depth to the analysis of biomedical data and their use to advance science and health. A PhD or equivalent degree in data science, biostatistics, statistics, biomedical informatics, clinical informatics, computer science, biomedical engineering or a related area is required.
See https://facultypositions.stanford.edu/en-us/job/494643/assistant-professor-of-biomedical-data-science for more information.
The DBDS administration is a team-first organization that is interdependent on its members to meet the demands of all faculty and students. We are seeking an excellent experienced administrator to fulfill the role of Program Coordinator and Executive Associate to our Department Chair. The incumbent will serve as a primary strategic partner to the Department Chair helping to plan and execute all programs and projects under her purview. To be successful, this position needs to be independent, strong, detail-oriented, personable, and able to cope with the demands of a very challenging and rewarding position.
For more information: https://careersearch.stanford.edu/jobs/chief-of-staff-project-coordinator-administrative-services-administrator-1-23433