Kara Ponder is a Manager of AI Research in San Francisco who turns complex scientific and commercial data into practical AI products for finance and biotech. With 11 years of experience spanning astrophysics to enterprise AI, she has led teams that shipped agentic AI tools, text-to-SQL chatbots, and productionized demand-forecasting pipelines that improved accuracy by up to 40%. Her Ph.D. in Physics and postdoctoral work at UC Berkeley and SLAC underpin deep expertise in ML for time-domain astronomy and large-scale data pipelines, which she has translated into investor-facing signals and due-diligence systems at a biotech VC. She combines hands-on model engineering and MLOps with product vision—mentoring engineers while aligning cross-functional roadmaps to investor workflows. Notably, she has moved cutting-edge transformer and reconciliation techniques from cosmology research into commercial forecasting and extraction products. Reach out for an up-to-date CV or to discuss AI strategy in financial services and life sciences.
11 years of coding experience
12 years of employment as a software developer
University of Georgia
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of Pittsburgh
Contributions:8 commits, 5 pushes, 1 branch in 10 months
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