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:

• Core ML/AI: Diffusion models, accelerated inference, high-dim statistical learning
• Trustworthy AI: Explainability, Mech interp, Attribution methods
• Agentic AI: Hypothesis generation, Validation, Multi-step reasoning
• AI4Science: AI4Biology, AI4Protein, AI4CryoEM, AI4Chemistry, AI4Astrobio

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.