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. My research lies at the intersection of machine learning, computational biology, information theory, and high-dimensional statistics, with a current focus on developing safe, secure, and interpretable AI for scientific discovery:

• Fundamentals of ML/AI: Generative and diffusion models in discrete spaces
• AI Safety and Biosecurity: Mechanistic interpretability and spectral methods
• Agentic AI: Hypothesis generation, validation, and inter-agent communication
• AI for Biology and Chemistry: Protein sequence–function modeling, epistasis, cryo-EM imaging, origin-of-life research, and astrobiology

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

• Watch my talk on Mechanistic Interpretability of Protein Language Models: 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 Sparsity, Epistasis, and Models of Protein Fitness Functions at the Broad Institute: Models, Inference, and Algorithms (MIA).