Hakim Temacini
Mathematics Computer Science Physics
I am a mathematics and computer science graduate from McMaster University working at the intersection of mathematical physics, scientific computing, and software engineering. My technical work spans numerical simulation, machine learning, and production software. I am looking for software roles that allow me to apply my skills in mathematics, physics, and computer science to solve challenging problems.
Research
My past experience has been concentrated in mathematical physics, with prior work in black hole thermodynamics and vacuum decay. Recently my interest has shifted to lattice simulations of frustrated spin systems. Feel free to connect or send an email if you are interested, or if you have any questions about my work.
Selected Publications
- False Vacuum Decay Around a Schwarzschild Black Hole Undergraduate thesis / in preparation
- On the Chen-Teo family of stationary asymptotically locally Minkowskian black holes Accepted, General Relativity and Gravitation (2026)
Experience
- McMaster University — Research Assistant Research in mathematical physics, black hole thermodynamics, and quantum field theory
- Intel / Altera — Software Engineering Intern Worked on FPGA tooling, frontend testing, and ML deployment infrastructure
- McMaster Interdisciplinary Satellite Team — ADCS Built attitude determination and control algorithms for a nanosatellite
Projects
- Symmetry-Invariant Diffusion Maps — Unsupervised machine learning pipeline to classify phase behavior in frustrated spin systems.
- Project Pythia: Planetary Kp-index Predictor — Predict geomagnetic storm activity from DSCOVR satellite data.
Competition Experience
- William Lowell Putnam Mathematical Competition — Top 500 ranking in 2023.
- ICPC (International Collegiate Programming Competition) — McMaster University team for NA East Division (x4).