Dante Di Tommaso is an experienced clinical development and software leader with 11+ years delivering GxP-compliant analytics platforms and statistical computing environments for global pharma. As Associate Director and Innovation Team Lead at Janssen he drives cross-functional engineering efforts that improve workflows for clinical and statistical programming teams, building tools that scale across hundreds of users. His background spans hands-on architecture and team leadership at Roche, Novartis, Omeros and consulting engagements where he designed prototypes, enterprise architectures, and automation for biostatistics operations. He blends deep domain knowledge of CDISC standards and regulatory data practices with practical software delivery, risk management and executive reporting. Trained in applied mathematics and public policy, he pairs quantitative rigor with strategic planning to shepherd multimillion-dollar programs and change initiatives. Colleagues describe him as a collaborative, innovation-focused leader who consistently translates complex regulatory and scientific requirements into usable, auditable systems.
11 years of coding experience
17 years of employment as a software developer
MS, Applied Mathematics (Evolutionary Genetics), MS, Applied Mathematics (Evolutionary Genetics) at University of California, Davis
Master of Public Policy, Quantitative & Qualitative Analysis, Master of Public Policy, Quantitative & Qualitative Analysis at University of Michigan
BS, Mathematics & Computer Science, BS, Mathematics & Computer Science at Colorado College
All files related to the PhUSE Test Data Factory (TDF) project
Contributions:195 commits, 188 pushes, 2 branches in 2 years 4 months
data-factorytdftest-datafactory
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Dante Di Tommaso - Associate Director Innovation Team Lead