van der Schaar Lab

Summer School Schedule

Keynote Speakers

Dr Oriol Vinyals

From AI to AGI: The Quest for True Intelligence

Google DeepMind

Technical Lead on Gemini

Dr Cheng Zhang

Foundation Models and Reasoning

Llama, GenAI, Meta

Research Manager

Prof Daniel Rückert

AI and the future of radiology

Klinikum rechts der Isar

Technical University of Munich

Imperial College London

Prof Caroline Uhler

Multimodal Data Integration: From Biomarkers to Mechanism

Eric and Wendy Schmidt Center

Broad Institute

MIT/Harvard University

Prof Frank Hutter

AutoML

Albert-Ludwigs-Universität Freiburg

ELLIS Institute Tübingen

Speakers

Dr David Watson

Causal Machine Learning for Genomics: discovery and inference

King’s College London

Prof Lena Maier-Hein

Medical Imaging AI in Real-World Settings

German Cancer Research Center

Prof Francesco Locatello

Powering the three pillars of causality with ML: Discovery, Representations, and Inference

Institute of Science and Technology Austria

Prof Yuanzhang Xiao

AutoFormalism and Optimisation Using LLMs

University of Hawaii

Dr Joaquín Dopazo

Enhanced medicine: how AI learns from data to transform healthcare

Progress and Health Foundation & Institute of Biomedicine of Seville

Dr Javier Alvarez-Valle

Medical Imaging AI – From raw signal to precision care

Microsoft Health Futures UK

Dr Alexis Bellot 

Causality, Partial Identification and AI Safety

Google DeepMind

Prof Peter Flach

Classifier calibration: how to assess and improve predicted class probabilities

University of Bristol

Prof Joaquin Vanschoren

Automated and Continual learning

TU Eindhoven & OpenML

Dr Tom Callender

Risk Scoring, AutoML, and Autonomous AI in Medicine

CCAIM

Dr Jessica Schrouff

Fairness in healthcare AI

Director of Responsible AI, GSK

Prof Changhee Lee

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

Assistant Professor at Korea University

Dr Fergus Imrie

ML Fundamentals & Interpretability: Peering into the black-box

University of Oxford

Dr Anders Boyd

Enabling the use of AI/ML tools with co-pilots

Amsterdam UMC & Stitching HIV Monitoring

Dr Jeroen Berrevoets

Causal Deep Learning

Ataraxis AI

Nabeel Seedat

LLMs for Data Centred AI

CCAIM

Samuel Holt

LLMs for Coding

CCAIM

Krzysztof Kacprzyk

Modeling Dynamical Systems With and Without Equations

CCAIM

Dr Jinsung Yoon

TBC

Google DeepMind

Kasia Kobalczyk

Collaborative Intelligence: Building AI That Works With Us, Not Instead of Us

CCAIM

Max Ruiz Luyten

LLMs, Planning, and Beyond: From Passive Prediction to Active Reasoning

CCAIM