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 in the Ph.D. programs in Machine Learning, Bioinformatics, and Bioengineering, and am affiliated with IDEaS, IMS, SRI, and the Petit Institute for Bioengineering and Bioscience (IBB).

Prior to joining Georgia Tech, I was a postdoctoral researcher at Stanford and UC Berkeley, and earned my Ph.D. from Rice University.

I am broadly interested in machine learning and AI for scientific discovery, with a focus on developing principled methods for learning, generation, interpretation, and reasoning in complex scientific domains. Recent interests are:

• Discrete generative and diffusion models
• Mechanistic interpretability of foundation models
• Protein sequence–function modeling, representation learning, and design
• Agentic AI-enabled discovery in chemistry and the origins of life
• cryo-EM protein imaging

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

• Watch my talk on Mech Interp of pLMs: Next-Generation Adaptable Computing for Omics (starts at 2:27:00).
• Watch my talk on Agentic AI for Hypothesis Generation: ICLR Agentic AI Workshop.
• Watch my talk on Epistasis and Protein Fitness Modeling at the Broad Institute: Models, Inference, and Algorithms (MIA).