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.

• 💼 LinkedIn
• 📧 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!