Summary
Julia Pulwicki is a data scientist with a PhD in Physics and eight years of experience applying rigorous, data-driven methods to problems spanning computational biology, dynamical systems, general relativity and applied machine learning. Based in Calgary, she has moved from academic research and postdoctoral modeling of diffusion in curved spaces to product-focused roles at startups and Symend, shipping models and full-stack features in agile environments. Comfortable coding in C and Python with NumPy and modern engineering practices, she blends scientific curiosity with practical ML engineering to test hypotheses and deliver production-ready solutions. Her background in formal grammars and 3D visualization informs a knack for translating complex mathematical ideas into interpretable systems and visual tools. Colleagues know her for iterative, literature-grounded problem solving and for bringing peer feedback into tightly scoped, test-driven development cycles.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Calgary
Polish