I'm a physics graduate transitioning into AI safety research. With a strong foundation in computational physics and theoretical modeling, I'm exploring both empirical and theoretical approaches to AI alignment and safety. Currently learning, researching, and figuring out where I can contribute most effectively to making AI systems safer and more reliable.
- 🎓 Background: Physics graduate with experience in computational physics and tensor network methods
- 👨🏫 Current Role: Physics Teacher
- 🤖 Research Interest: AI Safety - exploring empirical and theoretical approaches to alignment
- 🧠 Exploring: Machine learning, AI alignment theory, interpretability, and robustness
- 📚 Always Learning: Bridging physics intuition with AI safety research
Languages:
- C++
- MATLAB
- Python
- Julia
- LaTeX
Physics & Computation:
- Computational Physics
- Tensor Networks (ITensor)
- Quantum Many-Body Systems
- Numerical Simulations (FDTD)
- Statistical Mechanics
Current Focus:
- Machine Learning & Deep Learning
- AI Safety & Alignment
- Research Methods in AI
- 🔍 Exploring AI safety research directions (empirical & theoretical)
- 📖 Building foundation in modern ML and AI alignment
- 🧪 Planning projects at the intersection of physics and AI safety
- 🌱 Transitioning from physics research to AI safety research
Spatiotemporal quenches for efficient critical ground state preparation in the two-dimensional transverse field Ising model
Simon Bernier and Kartiek Agarwal
Physical Review B 111, 054311 (2025)
Spatiotemporal Quenches in Long-Range Hamiltonians
Simon Bernier and Kartiek Agarwal
Physical Review B 108, 024310 (2023)
Front-induced transitions control THz waves
A.W. Schiff-Kearn, L. Gingras, S. Bernier, J.-M. Ménard, and D.G. Cooke
Communications Physics 4, 162 (2021)
Open Access - Nature Publishing Group
My repositories currently showcase computational physics research, including:
- Quantum phase transitions in two-dimensional and long-range Ising models
- Tensor network simulations
- Superluminal front dynamics
- THz waveguide simulations
Coming Soon: AI safety projects and coursework as I build my portfolio in this space.
- 📧 Email: simon.bernier@mail.mcgill.ca
- 🐙 GitHub: You're already here!
I'm actively seeking opportunities to contribute to AI safety research, whether through:
- Research collaborations
- Entry-level research positions
- Safety-focused ML projects
- Research internships
If you're working on AI alignment, interpretability, robustness, or related areas, I'd love to connect!