I’m a product and platform leader focused on building AI, data, and scientific computing systems that accelerate research and discovery.

My career has been shaped by working at the intersection of science, technology, and product strategy — helping researchers, computational scientists, and enterprise organizations navigate complex scientific and organizational challenges through scalable platforms and data-driven systems.

Across roles at Roche/Genentech, Ancestry, 10x Genomics, and Seven Bridges, I’ve led initiatives spanning scientific computing infrastructure, cloud migration, computational workflows, AI-enabled platforms, and customer-facing research solutions. My work has ranged from defining platform strategy and driving cross-functional execution to partnering directly with scientists, engineers, and executive stakeholders to translate emerging needs into impactful products and capabilities.

Before moving into product leadership, I trained as a scientist, earning a Ph.D. in Comparative Medicine and Integrative Biology with a focus in Environmental Toxicology from Michigan State University. That scientific foundation continues to shape how I think — combining systems-level reasoning, technical depth, and empathy for the people doing the work at the edge of discovery.

I’m particularly energized by environments where science, data, infrastructure, and human collaboration intersect. Whether leading platform modernization efforts, enabling computational research at scale, or helping organizations adopt new AI and data capabilities, I’m motivated by building systems that create clarity, accelerate learning, and unlock meaningful impact.

At the core of my work is a simple belief: the best platforms don’t just support innovation, they expand what people are capable of discovering together.