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, SRI, 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 mathematical algorithms and theoretical tools for scalable, interpretable, and design-oriented AI systems, with a focus on understanding and engineering biological functions.

Current research directions are:

• Machine Learning & AI: Generative models, efficient inference, high-dim learning
• Mechanistic Interpretability: Attribution methods, neural circuit analysis
• Agentic AI: Hypothesis generation, validation, multi-step reasoning
• AI for Science: Protein engineering, cryo-EM, chemistry, and astrobiology

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

• Watch my invited talk at FCCM 2026 on Mechanistic Interpretation of PLMs: Next-Generation Adaptable Computing for Omics (fast forward to 2:27:00).
• Watch my talk on Agentic AI for Hypothesis Generation: ICLR Agentic AI Workshop.
• Watch my talk on Sparsity, Epistasis, and Models of Protein Fitness Functions at Broad Institute: Models, Inference and Algorithm (MIA).