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

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, with a focus on projects that could lead to the creation of start-ups.

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.

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.

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
Forecasting Inflation With the Hedged Random Forest

This paper explores inflation forecasting using a hedged random forest (HRF) model. Extensive empirical analysis demonstrates that this paper’s proposed approach consistently outperforms the standard random forest.

Improved Tracking-Error Management for Active and Passive Investing

Discover how shrinkage estimators and multivariate GARCH models improve tracking-error management for benchmarked portfolios, enhancing risk control and performance

Causal Factor Analysis is a Necessary Condition for Investment Efficiency

Lopez de Prado, Lipton, & Zoonekynd on factor model misspecification leading to investment inefficiency and biased portfolios. Discover why causal factor modeling is essential for sound portfolio optimization

ADIA Lab Symposium

19-21 November 2024

ADIA Lab News

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

News
ADIA Lab Senior Fellow Professor Torsten Hoefler Awarded Max Planck-Humboldt Research Medal

ADIA Lab Senior Fellow Professor Torsten Hoefler has been honoured with the Max Planck-Humboldt Research Medal, one of Germany’s most distinguished scientific prizes, jointly presented by the Max Planck Society and Alexander von Humboldt Foundation.

Spain Honours ADIA Lab Board Member Professor Marcos López de Prado with Order of Merit

His Majesty King Felipe VI and the Government of Spain have bestowed upon Professor Marcos López de Prado the Officer’s Cross of the Royal Order of Civil Merit

ADIA Lab Three-day forum to explore how data science and artificial intelligence (AI) can be applied to sustainability, ensure trust, and drive innovation.

ADIA Lab hosts its second annual symposium in Abu Dhabi from November 19-21, with an agenda focused on the power of research and technology to address global challenges.

ADIA Lab and Crunch Lab Launch Causal Discovery Challenge

ADIA Lab and Crunch Lab have launched the second edition of their machine learning competition, the ADIA Lab Causal Discovery Challenge.