About

I empower precision medicine at scale by bridging data science, software engineering, genomics, and artificial intelligence. As Director of Research Informatics at Tempus AI, I provide hands-on leadership to my team, actively contributing to the development and implementation of scalable genomic data analysis software, infrastructure and AI-driven models that accelerate the delivery of precision medicine.

My expertise spans R, Python, artificial Intelligence, cloud computing, high dimensional & multimodal genomic data analysis at scale. My passion lies in open-source software and enabling researchers through innovative solutions. My experience and training are interdisciplinary encompassing - bioinformatics, computational biology, genomics, computer science and statistics.

Previously, as a core team member of the Bioconductor Project (Dana-Farber / Harvard Medical School & Roswell Park) and the Galaxy Project (Johns Hopkins), I focused on scaling R/Bioconductor-based genomic data science on the cloud.

Bioconductor and the Galaxy project are computational milestones in Bioinformatics, as listed in this Nature Review paper.

I’m always eager to connect with individuals passionate about advancing data science and leveraging AI for impactful solutions.

My views are my own.