Amirali Aghazadeh

I am an Assistant Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. I serve as program faculty for the Ph.D. programs in Machine Learning, Bioinformatics, and Bioengineering, and am affiliated with the IDEaS, IMS, and Petit Institute (IBB).

Prior to Georgia Tech, I was a postdoctoral researcher at Stanford and UC Berkeley, and earned my Ph.D. at Rice University. My research group develops principled algorithms and theoretical tools for building scalable, interpretable, and design-oriented AI systems, with a core focus on understanding and engineering biological functions.

Current research directions are:

• Foundations of ML and Gen AI: Diffusion models, accelerating model inference, and high-dimensional statistical learning
• Mechanistic AI, Reasoning, and Safety: Interpretability, circuit-level analysis, verification, and Fourier-based explanation methods
• (Agentic) AI for Discovery and Bioengineering: Autonomous hypothesis generation, protein design and optimization, sequence–function modeling, cryo-EM, and origins-of-life studies

I pronounce my first name Ah-meer-ah-lee and my last name Ah-gah-zah-deh.

• Watch my talk on Sparsity, Epistasis, and Models of Protein Fitness Functions at Broad Institute: Models, Inference and Algorithm (MIA).
• Watch my talk on Agentic AI for Hypothesis Generation: ICLR Agentic AI Workshop.