Dan Fusca - Validere
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Dan Fusca
Data Scientist


Ph.D., Mathematics

University of Toronto

Insight Data Science Fellow

Insight Data Science, Toronto



Bayesian inference
Statistical modelling
Blend algorithms
Core product development

Dan is a data scientist at Validere. He develops tools used by Validere consultants and clients, starting from initial conception and ending at production code. He formulates business problems as math problems and then finds creative, rigorous, first-principal solutions.


Dan enjoys collaborating with others at Validere to build high-quality tools. Collaboration also grows the collective skillset, which Dan finds is one of the most satisfying parts of working at Validere.


Formerly, Dan was a Ph.D. student and lecturer at the University of Toronto, where he researched and published in the area of mathematical physics.


Outside of academics, Dan plays music, makes weird sculptures, and rides a bike.

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