Most AI and technology initiatives fail on organizational reality rather than the technology. For thirty years, complex, high-stakes institutions have brought Gabriele Fariello in to build and turn around the technology, data, and AI organizations they cannot afford to get wrong. He leads the organizational change that makes AI and data create governed value. He wrote his first neural network in 1991 and has worked at the intersection of computing, data, and science ever since.
Gabriele Fariello's career does not fit a single lane, and that is the point. He is repeatedly handed broken or greenfield technology and research-computing organizations inside high-stakes, high-scrutiny institutions, and he makes them outperform. The capability is institutional. It is the same in every setting: senior judgment, genuine technical depth, and the ability to move an organization.
He works by seeing problems differently and by building the teams that solve them. He is unusually technically deep for a leader at his level and can hold his own with the scientists and engineers he leads. He wins by hiring, turning around, retaining, and motivating exceptional people. That capability is what lets the same person succeed across pharma, a hospital, elite research universities, and a private-sector medical-device venture.
The breadth is the evidence that the capability transfers.
Gabriele invented and owns the SmartNode secure-identity appliance, took it from concept to a working, tested prototype, and validated it at Massachusetts General Hospital on a research MRI without degrading performance. It won "Best and Most Novel Data Security Solution" at the 2019 US Business News Technology Elite Awards.
Read the case studyIn the regulated world of pharmaceutical adverse-event reporting, Gabriele won FDA and EMA acceptance of a validated statistical data-migration approach in place of full manual re-entry, helping bring a breakthrough cancer therapy to patients sooner.
Read the case studyAs the inaugural CIO and Assistant Dean for Computing at Harvard's School of Engineering and Applied Sciences, Gabriele led all of the school's IT, research computing, and academic computing. He rebuilt a fractured organization, cut real IT spend by nearly 30%, and expanded research computing for faculty and students roughly fifty-fold.
Read the case studyRecruited to build Harvard's neuroinformatics capability, Gabriele co-founded and led a group that became internationally recognized, and won the confidence of a skeptical research faculty that voted to fund the position from its own departmental resources.
Read the case studyGabriele's private-sector work is best read by what he built. Inside a medical-device venture he invented and owns the SmartNode secure-identity appliance and proved it at Massachusetts General Hospital. Earlier in his career he founded and sold Clotho, an internet-technology firm whose work is documented in the public record. The pattern is the same one that runs through the institutional turnarounds: he is brought into difficult, greenfield, or high-risk situations and builds real, corroborated things.
Gabriele is Chief Information Officer and Associate Vice President of IT at the University of Rhode Island, where he leads essentially all university technology, research computing, and information security. In 2025 he launched URI's Institute for AI and Computational Research, funded at no net cost to the university from savings he had already generated. He serves on the boards of the Northeast Research and Education Network (NEREN) and the Massachusetts AI and Computational Resources initiative, chairs URI's IT Governance Committee, and testified before the Rhode Island Senate AI Committee in 2026.
His record is defined by regulatory, scientific, and clinical consequence rather than by org-chart headcount. He has operated where a mistake carries FDA, patient, or scientific stakes, and where the technical and governance difficulty is the hard part. He has also carried a private-sector build from concept to a working, tested, market-validated prototype, which is delivery under commercial stakes.
The record is checkable. Independent, public sources corroborate the roles, the invention, and the outcomes.
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