Alumnus Develops a Tool Capable of Predicting the Evolution of Co-vid19 using Data and AI

04.21.2020

Alumnus Anasse Bari, Clinical Assistant Professor of Computer Science at the Courant Institute of Mathematical Sciences of New York University (NYU), designed an artificial intelligence (AI) tool to understand the evolution of the coronavirus and determine the actions to be undertaken to limit its impact. A native of Tangier, Bari heads a research team at NYU, that focuses on the application of AI to solve high impact social problems such as financial market problems, epidemics, emotions, climate change, and well-being. The team has deployed this decision support tool mainly based on predictive analyses.

This solution will make it possible to report the clinical seriousness of cases contaminated by the pandemic and will help doctors to determine which patients really need beds and which ones can go home, hospital resources being limited. A partnership is currently under discussion between AUI and NYC, through Mr. Bari, for the use of advanced technologies for tracking the spread of COVID-19 in Morocco, but also for the precise determination of its impacts on economic and health plans.

Anasse Bari holds a bachelor’s degree in Computer Engineering from Al Akhawayn University. His experience at AUI had a transformative effect on his career. “At AUI, I acquired not only IT skills but also communication skills, community values and self-confidence to pursue big ambitions,” said Anasse Bari.

"My American dream started with my exchange program at George Washington University as part of my studies at Al Akhawayn. When Bari returned to Morocco during his last semester in Ifrane, he got his first job with the big world shipowner AP. MOLLER MAERSK. Two years later, he returned to George Washington University (GWU) to obtain a Ph.D. in Computer Science with a focus on Data Mining.  Bari is a Fulbright scholar and previously was a university professor at the Computer Science Department, at GWU, and held several other positions in prestigious institutions such as the World Bank. He was the recipient of the World Bank Group ITS Spot award for extraordinary efforts in the service of the organization. His scientific research has been focused on predictive analytics, biologically inspired data analytics, and information retrieval. He is also the co-author of the book “Predictive Analytics for Dummies,” and author of several articles on artificial intelligence for CNBC, Forbes, France24, and Telquel.