At Novartis, my role is to maximize the impact of data on our research pipeline's speed and success rate. I work with the Biomedical Research Computational Science Council to develop a global data-driven strategy for R&D. Last few years, I have led the writing of our Biomedical Research Data Strategy, co-led the definition of our data42 Clinical platform, contributed to our Enterprise Data Management; and driven our Generative AI prototyping.
My team's primary focus is to shape and mine data to aid in the selection of the best compounds and companion biomarkers/diagnostics. We combine data from clinical and pre-clinical studies with multi-omics, digital devices, and imaging data, and apply Machine Learning/AI/GenAI techniques to those Data Products. Our goal is to design better drugs with fewer side effects using data-powered Translational Medicine.
Outside of Novartis, I serve as an advisor and lecturer, giving back to the educational community that has supported me.