Summary
Jennifer Dobson is a Senior Data Scientist and Plasma & Laser Physics Engineer with 11 years of experience applying algorithms and software to complex physical systems, currently driving digital twin and AI surrogate initiatives at ASML. She blends hands-on toolbox and API development (Python, MATLAB, PySpark) with systems engineering practices to scale modeling, deployment, and cross-team adoption across enterprise cloud stacks like Databricks and Azure. Her work uniquely spans from prototype experimental instrumentation (laser droplet positioning, data logging) to production workflows that informed product priorities and manufacturing yield improvements. Jennifer has a track record of turning consulting engagements into lasting internal capability—her independent work with ASML directly led to a full-time role—and she routinely liaises with vendors to align external innovation with business needs. Earlier roles at Bigfoot Biomedical, MathWorks, and the Broad Institute highlight strengths in biomedical analytics, engineering processes, and scientific software that improve both R&D and product outcomes. Based in Poway, CA, she pairs academic rigor from Harvard and Boston University with pragmatic engineering that reduces compute costs and accelerates design cycles.
12 years of coding experience
5 years of employment as a software developer
S.B., Engineering Sciences, S.B., Engineering Sciences at Harvard University
M.S., Electrical Engineering, M.S., Electrical Engineering at Boston University