Anar Sabuxi Oğlu Rzayev

Hey 👋 I’m Anar Rzayev, a researcher working at the intersection of geometric deep learning and therapeutic discovery. My journey from mathematical olympiads to protein design revealed how proteins, nature’s most complex molecular machines, function through geometric principles that can be understood via mathematics and AI.

At KAIST and EPFL, I develop “context-aware geometric AI” for protein design and analysis. I work with Prof. Ho Min Kim at KAIST, where my research spans from engineering fluorescent proteins to designing antibodies, combining insights from structural biology, medical imaging, and computational geometry.

My research interests include:

• Geometric Deep Learning: SE(3)-equivariant architectures for molecular design
• Protein Engineering: Structure-guided design with evolutionary priors
• Medical AI: Multi-scale molecular-to-clinical translation
• Diffusion Models: Markov processes for molecular generation

If you’re curious to learn more about my work and experience, you can check out my CV. Feel free to reach out to me via email or connect with me on LinkedIn.