Summary
Samantha Thrush is a data scientist with a PhD in Astronomy and over a decade of coding and research experience applying deep learning, MCMC, and statistical methods to complex time-series and imaging problems. She has moved from academic research—where she secured large supercomputing allocations, built catalogs of variable stars, and taught graduate data science courses—to industry roles in vision engineering and applied data science at Sirris. Samantha combines strong Python and C/C++ implementation skills with a knack for turning noisy scientific data into actionable insights and clear visualizations. Notably, she has proven via simulation that Earth-like planets around distant dwarf stars are observable with non-specialized telescopes, demonstrating creative problem framing and resourceful use of compute. Based in Melle, Belgium, she brings collaborative international experience and an insatiable drive to learn when tackling real-world data challenges.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at University of Illinois Urbana-Champaign