The Global Entrepreneurship Forum

Physics AI
Meets Student
Innovation

Where Nobel laureates, CERN researchers, and AI pioneers collaborate to accelerate science-based student ventures at unprecedented speed

Why GENF?

Two transformative missions at the intersection of AI, physics, and entrepreneurship

AI-Powered Physics Simulations
Create jointly an AI model that powers student startups and spinoffs in physics-based innovation at world record speed

Leverage breakthrough technologies from Google DeepMind's AlphaFold, NVIDIA's physics engines, and CERN's computational frameworks to build a collaborative acceleration platform for science-based ventures.

Frontier Science Investment
Found an instrument to jointly learn how to invest into each student startup that has world-changing scientific power

Develop a shared framework for identifying, evaluating, and co-investing in high-potential ventures emerging from physics AI, materials science, quantum computing, and biotech research.

Two Frontier Locations

Physics AI in London • Particle Physics at CERN Geneva

London skyline

London

July 16-17, 2026

Google DeepMind HQ

Featuring Nobel laureates and AI pioneers from Google DeepMind and NVIDIA, focusing on physics-informed neural networks and simulation-driven ventures.

Physics AI & Simulations
CERN aerial view

Geneva

October 14-15, 2026

CERN Campus

Hosted at CERN, exploring particle physics, quantum computing, and technology transfer from fundamental research to student ventures.

Particle Physics & Quantum

World-Class Faculty

Nobel laureates, CERN researchers, and AI pioneers

Dr. John Jumper
Dr. John Jumper
Nobel Laureate & Distinguished Scientist

Google DeepMind

AlphaFold & Protein Structure Prediction

LinkedIn
Dr. Pushmeet Kohli
Dr. Pushmeet Kohli
VP of Science & Strategic Initiatives

Google DeepMind

AI for Science & Machine Learning

LinkedIn
Dr. Ken Museth
Dr. Ken Museth
Sr. Director, High-Fidelity Physics Research

NVIDIA

Physics Simulations & OpenVDB

LinkedIn
Dr. Sanja Fidler
Dr. Sanja Fidler
VP of AI Research

NVIDIA

Spatial Intelligence & Physical AI

LinkedIn

Forum Agenda

Curated sessions with frontier science leaders

Day 1 - July 16, 2026

Focus: Physics-Informed AI & Simulation Acceleration

09:00 - 10:30

Opening Keynote: AlphaFold Revolution

Dr. John Jumper, Google DeepMind

How AI solved the 50-year protein folding challenge and its implications for student ventures

10:45 - 12:15

Physics-Informed Neural Networks for Simulations

Dr. Ken Museth, NVIDIA

Accelerating physics simulations with AI for materials science and engineering startups

13:30 - 15:00

Workshop: Building AI Models for Science-Based Spinoffs

Dr. Pushmeet Kohli & Dr. Sanja Fidler

Hands-on session on applying DeepMind and NVIDIA frameworks to student research

15:15 - 16:45

Investment Roundtable: Valuing Physics AI Ventures

Multi-University Consortium

Learning to co-invest in deep-tech startups leveraging physics simulations

17:00 - 18:30

Networking & Partnership Sessions

All Attendees

Building collaborations between entrepreneurship centers and AI research labs

Our Partners

Leading organizations in AI and scientific research

AI & Technology Partners

NVIDIA
NVIDIA

GPU computing and physics simulation AI

Google DeepMind
Google DeepMind

AlphaFold and AI for scientific discovery

CERN
CERN

Particle physics and quantum computing research

Santander
Santander

Financial innovation for tech ventures

University Partners

Stanford University
Stanford University

California, USA

Oxford University
Oxford University

Oxford, UK

Bayes Business School
Bayes Business School

London, UK

Imperial College London
Imperial College London

London, UK

UC Berkeley
UC Berkeley

California, USA

Industry Focus

Physics-based innovation sectors

Energy

Physics simulations for fusion, batteries, and renewable systems

Materials Science

AI-driven materials discovery for semiconductors and quantum devices

Biotech

Protein engineering and drug design using AlphaFold and similar tools

Quantum Tech

Quantum computing applications and quantum-enhanced machine learning

Who Should Attend?

Innovation leaders and science entrepreneurship ecosystem builders

Entrepreneurship Center Directors

Leaders responsible for student startup creation and acceleration programs at research universities

Technology Transfer Offices

University TTO professionals managing IP commercialization and research spinoffs

Science-Based Spinoff Managers

Leaders of deep-tech companies emerging from physics, materials science, and quantum research

Apply to GENF

Join the exclusive forum shaping the future of physics-based student entrepreneurship

Application Form
Complete the form below to express your interest in attending GENF 2026

Minimum 10 characters

Questions? Contact us at [email protected]