EUGENIO ZUCCARELLI
EZ

Eugenio is a Data Science Leader, leading the innovation efforts for several Fortune 500 companies across multiple industries, including Healthcare (CVS Health), Automotive (BMW) and Finance (Morningstar).

He is a Forbes 30 Under 30, Fortune 40 Under 40, and studied across MIT, Harvard and Imperial College London. Currently, he leads the innovation efforts for complex chronic care at CVS Health, the #1 Healthcare company in the world and a Fortune 5 firm.

In addition, he has been working in the Task Force using analytics to fight COVID-19 and develop policy recommendations for The White House and overall finding solutions to fight the COVID-19 pandemic. You can find Eugenio's work across Forbes, The Washington Post, Bloomberg and Financial Times as well as multiple journals and in the App Store.

When he is not working, Eugenio enjoys contemporary art as well as playing Tennis with friends and traveling.

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John McCarthy Award

John McCarthy Award 2022 for Contributions to AI.

TEDxCapeMay 2022 Talk

Talking at TEDxCapeMay 2022.

Citadel Datathon

Attending Citadel's Hackathon in NYC.

Kevin at Cybathlon

Our pilot, Kevin, rehearsing before competing in the first bionics Olympics, Cybathlon 2016 in Zurich, Switzerland.

Spotlight: COVID-19 Policy Alliance

Developing The Senior Facility Risk Model


When COVID-19 hit, MIT faculty and researchers joined forces with business leaders forming the COVID-19 Policy Alliance, a Task Force using analytics to drive policy. Here I had the honour to contribute building a Machine Learnng model predicting the risk of infection in senior facilities, epicentres of the crisis. Alliance Calculator

The team used the publicly available model to drive state-level policy and develop recommendations for the White House to better manage the pandemic.The tool is available for anyone to use here.

"The [Covid Alliance Team] and his team assigned risk scores to every county in the United States based on the medical factors that make a person vulnerable to severe illness from coronavirus [...] The areas that he says were “flashing red” as having high rates of all of those are Louisiana and its neighbors Alabama and Mississippi."
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Academic paper available on:

Elsevier
Other articles featuring our work are available on The Boston Globe, Fast Company, MIT Sloan News and more.