An independent, Abu Dhabi-based laboratory dedicated to basic and applied research in data and computational sciences

ADIA Lab Symposium 2025

27-29 October
Four Seasons Abu Dhabi

The ADIA Lab Symposium is set to return in 2025. Join us for three days of impactful conversations on data science and AI with thought leaders from academia, industry, and policymaking institutions.​

More information will be announced as it becomes available.

Sign-up to the ADIA Lab newsletter to be first to find out the details.

Events

Many of our events are streamed live, so anyone registered can join. Sign-up to our email newsletter to receive invitations & information about upcoming seminars from world-class experts in machine-learning, artificial intelligence, & research in data and computational sciences.

Upcoming Events
Summer School sAI Shanghai
Jul 21
Summer School sAI Shanghai
ADIA Lab 2025 Symposium
Oct 27
ADIA Lab 2025 Symposium

Latest Research Publications

The ADIA Lab Research Series explores the latest advancements in data science, artificial intelligence, machine learning, and high-performance computing across various fields of study, including climate change, finance, and healthcare.

ADIA Lab Research Series
Transactions of ADIA Lab

This inaugural volume of Transactions of ADIA Lab features peer-reviewed research from ADIA Lab on finance, AI, and data science, highlighting breakthroughs in asset modelling, ethics, and high-performance computing.

Analytical Valuation of Private Equity Investments

This paper by Alexander Lipton & Marcos Lopez de Prado, introduces a new mathematical framework for valuing private equity (PE) investments by developing closed-form, analytical solutions to complex valuation problems, especially under conditions that more accurately reflect the reality of PE: illiquidity, nonlinearity, and market incompleteness.

A Protocol for Causal Factor Investing

By Marcos López de Prado & Vincent Zoonekynd, this paper proposes a major shift in how factor investing is approached, arguing that most traditional methods are flawed because they rely on associational rather than causal inference. By Marcos López de Prado & Vincent Zoonekynd

ADIA Lab News

The latest news from ADIA Lab. View the archive in our news section.

News
ADIA Lab Releases Inaugural Volume of Peer-Reviewed Research Collection: Transactions of ADIA Lab

ADIA Lab has published its first volume of Transactions of ADIA Lab, a peer-reviewed collection of interdisciplinary research that reflects ADIA Lab’s growing role as a global hub for applied science in artificial intelligence, computational finance, and digital innovation.

United Nations University Institute for Water, Environment and Health Partners with ADIA Lab for International Summer School on Sustainable AI 

ADIA Lab partners with UNU-INWEH and FeiShu for a Summer School on Sustainable AI, training global students to apply AI to sustainability challenges.

ADIA Lab concludes Explainable AI summer school with University of Granada

The latest International Summer School has concluded. ADIA Lab & University of Granada hosted 50 students over 9 days, exploring a wide range of topics within Explainable AI(XAI), including large language models (LLMs), agent-based modelling, time series forecasting, and XAI techniques for tabular and image date.

ADIA Lab collaborates with Luxembourg Institute of Science and Technology (LIST) to advance multi-agent AI systems research

ADIA Lab has partnered with the Luxembourg Institute of Science and Technology (LIST) to develop a comprehensive testing framework and AI sandbox environment for multi-agent AI systems.

What we do

ADIA Lab focuses on societally-important topics such as climate change and energy transition, blockchain technology, financial inclusion and investing, decision making, automation, cybersecurity, health sciences, education, telecommunications, and space, by conducting cutting-edge research in Data Science, Artificial Intelligence, Machine Learning, and High-Performance Computing.

ADIA Lab aims to

Identify

Identify the open problems in data and computational science that are hindering progress in solving humanity’s most pressing issues.

Contribute

Play a proactive role in contributing to the continued development of Abu Dhabi’s digital ecosystem.

Impart

Impart practical, cutting-edge, actionable research in data and computational sciences, through global engagement with the leading minds in these fields.

Collaborate

Collaborate with academic and other institutions globally to design educational programs, sponsor research projects and fund reproducible research, offer fellowships and internships, host seminars, and run competitions and Best Paper awards.