Isaac Newton Institute Seminars

09
Feb

Tutorial on AI in Biomedical Research: Bridging Data, Causality, and Clinical Impact

Speaker:

Judith Abecassis (INRIA)

Time:

Monday, February 9, 2026 - 15:45 to 16:45

Venue:

Seminar Room 1, Newton Institute

10
Feb

Benefits of Multi-modality: alignment, unpaired data and cross-model correspondences - Virtual presentation

Speaker:

Stefanie Jegelka (Technical University of Munich)

Time:

Tuesday, February 10, 2026 - 09:00 to 10:00

Venue:

Seminar Room 1, Newton Institute

10
Feb

Poster Lightning Talks

Speaker:

Time:

Tuesday, February 10, 2026 - 10:00 to 10:30

Venue:

Seminar Room 1, Newton Institute

10
Feb

Contributed Talk: Learning to Design Infrastructure Networks

Speaker:

Akanksha Ahuja (University of Cambridge)

Time:

Tuesday, February 10, 2026 - 11:00 to 11:30

Venue:

Seminar Room 1, Newton Institute

10
Feb

Contributed Talk: Representing Time Series, Missingness, and Semantics in Surgical Risk Prediction

Speaker:

Hugo Armando Guillen Ramirez (Universität Bern)

Time:

Tuesday, February 10, 2026 - 11:30 to 12:00

Venue:

Seminar Room 1, Newton Institute

10
Feb

An Introduction to the Accelerate Programme for Scientific Discovery

Speaker:

Jessica Montgomery (University of Cambridge)

Time:

Tuesday, February 10, 2026 - 13:30 to 13:40

Venue:

Seminar Room 1, Newton Institute

10
Feb

Agents for scientific discovery

Speaker:

Boris Bolliet (University of Cambridge)

Time:

Tuesday, February 10, 2026 - 13:40 to 13:55

Venue:

Seminar Room 1, Newton Institute

10
Feb

Advancing agricultural resilience to climate and disease risks with AI tools

Speaker:

Jacob Smith (University of Cambridge)

Time:

Tuesday, February 10, 2026 - 13:55 to 14:10

Venue:

Seminar Room 1, Newton Institute

10
Feb

Scaling LLMs to serve the academic community

Speaker:

Ryan Daniels (University of Cambridge)

Time:

Tuesday, February 10, 2026 - 14:10 to 14:25

Venue:

Seminar Room 1, Newton Institute

10
Feb

Interactive discussion session

Speaker:

Time:

Tuesday, February 10, 2026 - 14:25 to 15:00

Venue:

Seminar Room 1, Newton Institute

10
Feb

Introduction to the "Raspberry Pi for Agentic AI" idea

Speaker:

Neil Lawrence (University of Cambridge)

Time:

Tuesday, February 10, 2026 - 15:30 to 15:45

Venue:

Seminar Room 1, Newton Institute

10
Feb

Agentic AI for Science Workshop Activity

Speaker:

Time:

Tuesday, February 10, 2026 - 15:45 to 17:00

Venue:

Seminar Room 1, Newton Institute

10
Feb

Online Causal Inference Seminar

Speaker:

Time:

Tuesday, February 10, 2026 - 16:30 to 17:30

Venue:

Discussion Room, Newton Institute

11
Feb

Cognitive brain imaging in the age of AI

Speaker:

Bertrand Thirion (INRIA)

Time:

Wednesday, February 11, 2026 - 09:00 to 10:00

Venue:

Seminar Room 1, Newton Institute

11
Feb

Contributed Talk: Resolution-adaptive networks for uniform performance across heterogeneous medical image cohorts

Speaker:

Richard McKinley (Inselspital, University Hospital of Bern)

Time:

Wednesday, February 11, 2026 - 10:00 to 10:30

Venue:

Seminar Room 1, Newton Institute

11
Feb

Tutorial on Mechanistic Learning in Mathematical Oncology

Speaker:

Sarah Brüningk (Universität Bern)

Time:

Wednesday, February 11, 2026 - 11:00 to 12:00

Venue:

Seminar Room 1, Newton Institute

11
Feb

title: A new approach to address scrambling of quantum information using Graph and Ergodic theories.

Speaker:

Uzy Smilansky (Weizmann Institute of Science)

Time:

Wednesday, February 11, 2026 - 14:00 to 15:00

Venue:

Seminar Room 2, Newton Institute

11
Feb

Contributed Talk: A review of modern Bayesian and post-Bayesian sampling methods

Speaker:

Marina Riabiz (King's College London)

Time:

Wednesday, February 11, 2026 - 14:00 to 14:30

Venue:

Seminar Room 1, Newton Institute

11
Feb

Tutorial on Bayesian inference with deep generative models: Examples from hydrogeology and geophysics

Speaker:

Stig Niklas Linde (Université de Lausanne)

Time:

Wednesday, February 11, 2026 - 14:30 to 15:30

Venue:

Seminar Room 1, Newton Institute

11
Feb

Markov Categories

Speaker:

Tobias Fritz (Leopold-Franzens Universtät Innsbruck)

Time:

Wednesday, February 11, 2026 - 15:00 to 17:00

Venue:

Seminar Room 2, Newton Institute

09
Feb

Tutorial on AI in Biomedical Research: Bridging Data, Causality, and Clinical Impact

10
Feb

Benefits of Multi-modality: alignment, unpaired data and cross-model correspondences - Virtual presentation

10
Feb

Poster Lightning Talks

10
Feb

Contributed Talk: Learning to Design Infrastructure Networks

10
Feb

Contributed Talk: Representing Time Series, Missingness, and Semantics in Surgical Risk Prediction

10
Feb

An Introduction to the Accelerate Programme for Scientific Discovery

10
Feb

Agents for scientific discovery

10
Feb

Advancing agricultural resilience to climate and disease risks with AI tools

10
Feb

Scaling LLMs to serve the academic community

10
Feb

Interactive discussion session

10
Feb

Introduction to the "Raspberry Pi for Agentic AI" idea

10
Feb

Agentic AI for Science Workshop Activity

10
Feb

Online Causal Inference Seminar

11
Feb

Cognitive brain imaging in the age of AI

11
Feb

Contributed Talk: Resolution-adaptive networks for uniform performance across heterogeneous medical image cohorts

11
Feb

Tutorial on Mechanistic Learning in Mathematical Oncology

11
Feb

title: A new approach to address scrambling of quantum information using Graph and Ergodic theories.

11
Feb

Contributed Talk: A review of modern Bayesian and post-Bayesian sampling methods

11
Feb

Tutorial on Bayesian inference with deep generative models: Examples from hydrogeology and geophysics

11
Feb

Markov Categories

Forthcoming Seminars

News, Announcements and Events

Social media

Study at Cambridge

About the University

Research at Cambridge

Isaac Newton Institute Seminars

09Feb Tutorial on AI in Biomedical Research: Bridging Data, Causality, and Clinical Impact

10Feb Benefits of Multi-modality: alignment, unpaired data and cross-model correspondences - Virtual presentation

10Feb Poster Lightning Talks

10Feb Contributed Talk: Learning to Design Infrastructure Networks

10Feb Contributed Talk: Representing Time Series, Missingness, and Semantics in Surgical Risk Prediction

10Feb An Introduction to the Accelerate Programme for Scientific Discovery

10Feb Agents for scientific discovery

10Feb Advancing agricultural resilience to climate and disease risks with AI tools

10Feb Scaling LLMs to serve the academic community

10Feb Interactive discussion session

10Feb Introduction to the "Raspberry Pi for Agentic AI" idea

10Feb Agentic AI for Science Workshop Activity

10Feb Online Causal Inference Seminar

11Feb Cognitive brain imaging in the age of AI

11Feb Contributed Talk: Resolution-adaptive networks for uniform performance across heterogeneous medical image cohorts

11Feb Tutorial on Mechanistic Learning in Mathematical Oncology

11Feb title: A new approach to address scrambling of quantum information using Graph and Ergodic theories.

11Feb Contributed Talk: A review of modern Bayesian and post-Bayesian sampling methods

11Feb Tutorial on Bayesian inference with deep generative models: Examples from hydrogeology and geophysics

11Feb Markov Categories

Forthcoming Seminars

News, Announcements and Events

Social media

Study at Cambridge

About the University

Research at Cambridge

09
Feb

Tutorial on AI in Biomedical Research: Bridging Data, Causality, and Clinical Impact

10
Feb

Benefits of Multi-modality: alignment, unpaired data and cross-model correspondences - Virtual presentation

10
Feb

Poster Lightning Talks

10
Feb

Contributed Talk: Learning to Design Infrastructure Networks

10
Feb

Contributed Talk: Representing Time Series, Missingness, and Semantics in Surgical Risk Prediction

10
Feb

An Introduction to the Accelerate Programme for Scientific Discovery

10
Feb

Agents for scientific discovery

10
Feb

Advancing agricultural resilience to climate and disease risks with AI tools

10
Feb

Scaling LLMs to serve the academic community

10
Feb

Interactive discussion session

10
Feb

Introduction to the "Raspberry Pi for Agentic AI" idea

10
Feb

Agentic AI for Science Workshop Activity

10
Feb

Online Causal Inference Seminar

11
Feb

Cognitive brain imaging in the age of AI

11
Feb

Contributed Talk: Resolution-adaptive networks for uniform performance across heterogeneous medical image cohorts

11
Feb

Tutorial on Mechanistic Learning in Mathematical Oncology

11
Feb

title: A new approach to address scrambling of quantum information using Graph and Ergodic theories.

11
Feb

Contributed Talk: A review of modern Bayesian and post-Bayesian sampling methods

11
Feb

Tutorial on Bayesian inference with deep generative models: Examples from hydrogeology and geophysics

11
Feb

Markov Categories