van der Schaar Lab

Speakers & Schedule

Keynote Speakers

Prof Oliver Stegle

TBC

German Cancer Research Center

EMBL Heidelberg

Dr Sirj Goswami

Precision Dosing in the Age of AI: From Quantitative Models to Clinical Impact

Cofounder and CEO

InsightRX

Prof Lena Maier-Hein

Medical imaging AI in the wild

Heidelberg University

National Center for Tumor Diseases

German Cancer Research Center

Prof Manolis Kellis

The AI Frontier: Genomic Medicine, Healthcare, Human Knowledge

MIT

Broad Institute

CSAIL

Prof Don Ingber

Drug Development Enabled by AI, Human Organ Chips, and other Novel Experimental Models

Wyss Institute

Harvard University

Our Speakers

Prof Andres Floto

Clinical forecasting for CF using AI

CCAIM

University of Cambridge

Prof Richard Peck

Evidence Based Individualised Medicine

CCAIM

University of Liverpool

Prof Ari Ercole

The productivity paradox: from Artificial Intelligence to Actual Improvement

CCAIM

University of Cambridge

Prof Eoin McKinney

Clinical application of AI and ML methods: a story of wheat and chaff

CCAIM

University of Cambridge

Dr Fergus Imrie

ML Fundamentals & Interpretability: Peering into the black-box

University of Oxford

Dr Anders Boyd

Empowering Clinician Scientists with AI-enabled Co-Pilots

Amsterdam UMC & Stitching HIV Monitoring

Dr Joaquín Dopazo

From electronic health records to evidence generation: how AI turns medical data into clinical value

Progress and Health Foundation & Institute of Biomedicine of Seville

Dr Tom Callender

Precision Prevention, AutoML, and Autonomous AI in Medicine

CCAIM

Prof Niels Peek

Challenges surrounding impact and value evaluations of AI

CCAIM

University of Cambridge

Prof Robert D Stevens

A framework for foundation models in intensive care medicine

Johns Hopkins School of Medicine

Prof Kun-Hsing Yu

Explainable and Uncertainty-Aware Foundation Models for Pathology

Harvard Medical School

Prof Jean-Baptiste Woillard

Advancing Drug Individualization: Integrating PK/PD Principles and Machine Learning

University Hospital of Limoges

Tim Schubert

ML for multi-omics Journal Club

Heidelberg University, University of Cambridge

Prof Stefan Feuerriegel

Causal machine leanring for predicting treatment outcomes

LMU Munich

Dr Zhaozhi Qian

Through the Looking Glass: Exploring the Wonders of Large Language Models

Elm

Prof Francesca Ieva

Predictive Digital Twins for the patient: matching clinical needs and methodological challenges

Politecnico di Milano

Dr David Rivkin

Introduction to AI Governance in the Healthcare Industry

UnitedHealth Group

Prof Lena Maier-Hein

Medical Imaging AI in Real-World Settings

German Cancer Research Center

Silas Ruhrberg Estévez

Bridging Bedside and Algorithm: Lessons and Practical Tips for Mastering ML During Clinical Training

University of Cambridge