Summary
Giorgian Borca-tasciuc is a research engineer and PhD candidate specializing in widebandgap power semiconductors with 11 years of hands-on experience at the intersection of physics, machine learning, and signal processing. Based in Troy, NY, he applies advanced ML techniques—graph neural networks, embeddings, and signal filtering—to real-world physics problems from X-ray scattering analysis to trigger detection, improving classifier performance from 69% to 87% in production contexts. His background spans quantum memory experiments, collider simulations, and full-stack tooling, giving him a rare blend of experimental optics, simulation, and software engineering skills. He pairs academic rigor from RPI and Stony Brook with pragmatic coding enthusiasm—his GitHub ethos, “coding is fun,” reflects a habit of turning simulations and research prototypes into robust analysis tools.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Rensselaer Polytechnic Institute
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stony Brook University
Romanian, English, Spanish