ADIA Lab Symposium 2026

Monday, October 26, 2026

ADIA Lab Symposium 2026

Free three-day forum where Nobel and Turing laureates and researchers explore how AI is predicted, designed and deployed in practice.

Date and Time

October 26 · 9am - October 28 · 6pm GMT+4

Location

Four Seasons Hotel Abu Dhabi at Al Maryah Island

Abu Dhabi Global Market - Second Street, Al Maryah Island

About This Event

ADIA Lab Symposium 2026 is a Big Data event taking place 26-28 Oct 2026 at Four Seasons Hotel Abu Dhabi at Al Maryah Island, Abu Dhabi, United Arab Emirates.

The ADIA Lab Symposium is the flagship event of ADIA Lab, the independent Abu Dhabi laboratory for basic and applied research in data and computational sciences. The fourth edition runs over three days under the theme Prediction, Design and Deployment, following AI from understanding and forecasting complex systems, through engineering reliable technologies, to scaling them in the real world. The line-up includes three Nobel laureates and several ACM Turing Award winners alongside ADIA Lab's advisory board and research fellows.

Programme

Each day follows one strand of the theme, with morning keynotes, three parallel tracks, research project updates, expert case studies and an afternoon poster session.

  • Day 1 – Prediction: understanding, modelling and forecasting systems
  • Day 2 – Design: engineering systems with reliable intelligence
  • Day 3 – Deployment: scaling innovation into practice
  • Parallel tracks on climate, health and finance/economic applications of AI
  • ADIA Lab Awards and the JFDS award ceremony
  • Poster sessions and dedicated networking

Headline speakers

Confirmed speakers include Nobel laureates Robert Engle, Steven Chu and Konstantin Novoselov, Turing Award laureates Jack Dongarra and Shafi Goldwasser, and researchers from ETH Zürich, Harvard, MIT, Oxford, Yale, Columbia, MBZUAI, KAUST and NYU Abu Dhabi, as well as practitioners from Mubadala, Intellectual Ventures and Fresenius Medical Care.

Who attends

The symposium is aimed at researchers, industry practitioners and policymakers working in AI, machine learning, data science and high-performance computing, particularly those applying them to climate, health sciences and the digital economy.

Attending

The forum is free to attend in person or by livestream, but registration is required. The agenda is preliminary and subject to change as more speakers are confirmed.

Tickets & passes

  • In-person or livestream registration — Free: Free; registration essential

Agenda

Monday, October 26

9:30 AM – 9:40 AM

Day 1 (Prediction): Opening remarks

9:40 AM – 10:25 AM

Keynote: Risk Management When We Don't Know the Risks: Forecasting Risk, Return and the Price of Risk

10:25 AM – 11:00 AM

Keynote: Technology Challenges in Getting to Net-Zero GHG Emissions

11:20 AM – 12:00 PM

Track A – Kilometer-Scale Earth System Modeling and AI-Driven Discovery

Paving the Way Toward a Scaling Law for Scientific Discovery: Lessons from the HPC–AI-Converged LineShine Supercomputer

11:20 AM – 12:00 PM

Track B – Causal and Predictive AI for Human Health

AI for Causal Inference from Healthcare Databases

11:20 AM – 12:00 PM

Track C – Promises and Limits of AI in Financial Applications

AI in Economics and Finance: Regulatory Filings, On-Chain Markets, and Financial Forecasting

12:00 PM – 12:40 PM

Track A – Kilometer-Scale Earth System Modeling and AI-Driven Discovery

AI in Climate Sciences — Quo Vadis?

12:00 PM – 12:40 PM

Track B – Causal and Predictive AI for Human Health

Predictive Immunology: Building AI Models of the Human Immune System

12:00 PM – 12:40 PM

Track C – Promises and Limits of AI in Financial Applications

AI Agents in Competitive Markets

1:40 PM – 2:05 PM

Collaborative Research Project Updates – Climate Science

Climate Co-Pilot: Scientifically Grounded Agents for Multimodal Earth Data

2:05 PM – 2:30 PM

Collaborative Research Project Updates – Climate Science

Benchmarking Machine Learning for Climate Science

2:30 PM – 3:00 PM

ADIA Lab Awards: Structural Break Competition – Real-time Edition

3:00 PM – 3:30 PM

Expert case study: AI for Materials Discovery

3:30 PM – 5:00 PM

Poster session

Tuesday, October 27

9:40 AM – 10:25 AM

Keynote: AIDO Cell: A Multiscale Simulator for Cell Biology

10:25 AM – 11:00 AM

11:20 AM – 12:00 PM

Track A – Trustworthy Climate Risk Modeling for Capital Decisions

The Algorithmic Planet: AI, Mathematics, and the Reinvention of Our Relationship with Nature

11:20 AM – 12:00 PM

Track B – Trustworthy Clinical Machine Learning and Agentic Systems

Advances in Foundation Medical AI

11:20 AM – 12:00 PM

Track C – Challenges, Failures and Solutions in the Design of New Technologies

A Model for Transaction Coordination for Multi-Network Asset Transfers

12:00 PM – 12:40 PM

Track A – Trustworthy Climate Risk Modeling for Capital Decisions

From Foundation Models to Operational Weather Intelligence and Practice

12:00 PM – 12:40 PM

Track B – Trustworthy Clinical Machine Learning and Agentic Systems

Engineering Trustworthy Agentic Intelligence: From Model Reliability to Continuous Assurance

12:00 PM – 12:40 PM

Track C – Challenges, Failures and Solutions in the Design of New Technologies

Practical Lessons in Building Trustworthy Agentic AI for Investment Research

1:40 PM – 2:00 PM

Collaborative Research Project Updates – Health Sciences

FM-GWAS: From Personalized Genomes to Disease Gene Discovery

2:00 PM – 2:20 PM

Collaborative Research Project Updates – Health Sciences

Causal AI for the Generation of Real-World Evidence from Healthcare Data

2:20 PM – 2:40 PM

Collaborative Research Project Updates – Health Sciences

AgentiCDS: A Multimodal Agentic AI System for In-Hospital Clinical Decision Support

2:40 PM – 3:10 PM

Expert case study: HPC in Transition

3:10 PM – 5:00 PM

Poster session

Wednesday, October 28

9:40 AM – 10:25 AM

Keynote: AI Success in the Real World

10:25 AM – 11:00 AM

Keynote: The Jagged Frontier of Deployment: Field Experimental Evidence on How AI Changes Work, Teams, and Strategy

11:20 AM – 12:00 PM

Track A – Deploying Climate and Sustainability AI Beyond the Pilot

Scaling Resilience Through the Deployment of Climate Adaptation Solutions

11:20 AM – 12:00 PM

Track B – Deploying Health AI at Population Scale

AI-Driven Digital Transformation in Dialysis Care

11:20 AM – 12:00 PM

Track C – Hidden Economic Risks When AI Is Deployed at Scale

Trustworthy AI Begins in the Data Center: Securing the Physical Substrate of Intelligence

12:00 PM – 12:40 PM

Track A – Deploying Climate and Sustainability AI Beyond the Pilot

Beyond the Model: Scaling Applied AI for Water and Resource Recovery

12:00 PM – 12:40 PM

Track B – Deploying Health AI at Population Scale

Real-World Lessons from Deploying AI in Clinical Settings

12:00 PM – 12:40 PM

Track C – Hidden Economic Risks When AI Is Deployed at Scale

The Shadow Agent: Governing Unseen Delegation in the AI-Driven Economy

1:40 PM – 3:00 PM

JFDS Award Ceremony and award presentations

3:00 PM – 3:30 PM

Expert case study

3:30 PM – 3:45 PM

Closing remarks

Frequently asked questions

About this listing

Details are collected from the organizer’s official site, www.adialab.ae.

Companies & Speakers

Speakers

Prof. Robert Engle· Nobel Prize, Economic Sciences 2003 · ADIA Lab Advisory BoardProf. Steven Chu· Nobel Prize, Physics 1997 · ADIA Lab Advisory BoardProf. Konstantin Novoselov· Nobel Prize, Physics 2010 · ADIA Lab Advisory BoardDr. Horst Simon· Director, ADIA LabProf. Jack Dongarra· University Distinguished Professor, University of Tennessee · ACM A.M. Turing Award LaureateProf. Shafi Goldwasser· ACM A.M. Turing Award Laureate · ADIA Lab Advisory BoardProf. Torsten Hoefler· ETH Zürich · 2024 ACM Prize in Computing · ADIA Lab Senior FellowProf. Haohuan Fu· Vice Dean, Tsinghua Shenzhen International Graduate SchoolProf. Miguel Hernán· Professor of Biostatistics & Epidemiology, Harvard UniversityProf. Alex “Sandy” Pentland· Toshiba Professor, MIT · HAI Fellow, StanfordDr. Edward Jung· Co-Founder & Chief Technology Officer, Intellectual VenturesProf. Le Song· CTO, GenBio AIProf. Aly Azeem Khan· University of ChicagoProf. Francisco Herrera· University of Granada · ADIA Lab Senior FellowProf. Luis Seco· Professor of Mathematics, University of Toronto · Director, RiskLabProf. Juepeng Zheng· Associate Professor, Sun Yat-sen UniversityDr. Parag Khanna· Founder & CEO, AlphaGeoMs. Nina Kshetry· Founder & President, Ensaras, Inc.Prof. Salman Khan· Professor, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Prof. Duncan Watson-Parris· Asst. Professor, Scripps Institution of Oceanography & UC San DiegoProf. Karim Lakhani· Harvard Business SchoolProf. David Clifton· University of OxfordDr. Ronnie RajanDr. Milind Nikam· Fresenius Medical CareDr. Eran Segal· Dean, Biological and Life Sciences Division, MBZUAI · Weizmann Institute of ScienceDr. Farah Shamout· Assistant Professor, NYU Abu DhabiDr. Sophia Rein· ADIA Lab Visiting FellowProf. Leandros Tassiulas· John C. Malone Professor of Electrical & Computer Engineering, Yale UniversityProf. Agostino Capponi· Professor, Industrial Engineering and Operations Research · Director, Center for Digital Finance and Technologies, Columbia UniversityDr. Thomas Hardjono· CTO of Connection Science & Technical Director, MIT Trust-Data ConsortiumDr. Edward Barker· Head of AI Lab, AI Enablement Unit, Mubadala Investment CompanyProf. Roberto Di Pietro· Full Professor of Computer Science, King Abdullah University of Science and Technology (KAUST)Prof. Carlos Galera-Zarco· Associate Professor, University College London (UCL)

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October 26 · 9am - October 28 · 6pm GMT+4

ADIA Lab Symposium 2026