-

Professor Bin Yu – UC Berkeley

18/12/2024 10:00 am - 18/12/2024 11:00 am
Location
Davis Auditorium

WEHI Special Bioinformatics Seminar hosted by Professor Tony Papenfuss, Drs Givanna Putri & James Fu

Professor Bin Yu
Statistics, EECS, Center for Computational Biology, Simons Institute for the Theory of Computing – UC Berkeley, USA

Veridical data science and alignment in medical AI

Davis Auditorium

Join via ZOOM

Including Q&A session

 

Alignment and trust are crucial for the successful integration of AI in healthcare including digital twin projects, a field involving diverse stakeholders such as medical personnel, patients, administrators, public health officials, and taxpayers, all of whom influence how these concepts are defined. This talk presents a series of collaborative medical case studies where AI algorithms progressively become, from transparency to more opaque thus with increasing difficulty of alignment assessment. These range from tree-based methods for trauma diagnosis, to LLM-based emergency department co-pilot, and mechanistic circuits for structured data extraction from pathology reports. They are guided by Veridical Data Science (VDS) principles—Predictability, Computability, and Stability (PCS)—for the goal of building trust and interpretability, enabling doctors to assess alignment. The talk concludes with a discussion on applying VDS to digital twins and medical foundation models and next steps for evaluating AI algorithm alignment in healthcare.

 

Bin Yu is CDSS Chancellor’s Distinguished Professor in Statistics, EECS, and Computational Biology, and Scientific Advisor at the Simons Institute for the Theory of Computing,  all at UC Berkeley. Her research focuses on the practice and theory of statistical machine learning, veridical data science, and solving interdisciplinary data problems in neuroscience, genomics, and precision medicine. She and her team have developed algorithms such as iterative random forests (iRF), stability-driven NMF, and adaptive wavelet distillation (AWD) from deep learning models. She is a member of the National Academy of Sciences and of the American Academy of Arts and Sciences. She was a Guggenheim Fellow, IMS President, and delivered the IMS Rietz and Wald Lectures and Distinguished Achievement Award and Lecture (formerly Fisher Lecture) of COPSS. She holds an Honorary Doctorate from The University of Lausanne.

 

 

All Welcome!

Support us

Together we can create a brighter future

Your support will help WEHI’s researchers make discoveries and find treatments to ensure healthier, longer lives for you and your loved ones.

Sign up to our quarterly newsletter Illuminate

Find out about recent discoveries, community supporters and more.

Illuminate Summer 2024
View the current issue