About me 🌟

👋 Hi there, I’m Aoyan Liang — a computational materials scientist pursuing a Ph.D. in Materials Science at the University of Southern California (USC). I also hold two Master’s degrees from USC: one in Computer Science and another in Materials Science.

With experience spanning industry, national laboratories, and academia, I bring a versatile perspective to solving materials challenges in both research and applied settings.

🔍 Research & Expertise

My research sits at the intersection of computational materials science and machine learning for materials design. I apply AI-driven approaches and atomistic simulations — including density functional theory (DFT), molecular dynamics (MD), and Monte Carlo (MC) — to accelerate materials discovery, elucidate composition-processing–structure–property relationships, and design advanced materials for innovative applications.

💼 Industry Experience

Most recently, I worked as an Advanced Material Modeling Intern at Seagate Technology, contributing to simulation-driven materials design for heat-assisted magnetic recording (HAMR).

👨‍🎓 Academic & Collaborative Work

Currently, I’m part of Prof. Paulo Branicio’s research lab at USC, and a research collaborator at Lawrence Livermore National Laboratory under the guidance of Dr. Vasily Bulatov.

🤝 Open to Opportunities

I am passionate about bridging computational modeling, AI-driven materials design, and experimental validation to solve real-world challenges. I welcome discussions on research collaborations, industry projects, and career opportunities where I can apply my skills to advance materials innovation.

_{Last updated: August 12, 2025}