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).

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

My research focuses on the algorithmic foundations of AI for Science. My group develops methods to understand and control scientific AI systems, accelerate generative modeling, and enable sensing and inference in biological and physical systems. Current research directions include:

• Mechanistic interpretability and control of biological foundation models
• Efficient and controllable discrete generative algorithms
• Scientific agents, autonomous discovery, and AI biosecurity
• Computational sensing and inverse problems for cryo-EM and electron ptychography

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

• (2026) my talk on three faces of sparsity in trustworthy AI for bio: Stanford AI+Biomedicine Seminar (Pass: M+pg%s8c).
• (2026) my talk on Mech Interp of pLMs: Adaptable Computing for Omics.
• (2025) my talk on Agentic AI for Hypothesis Generation: ICLR Agentic AI Workshop.
• (2023) my talk on Epistasis and Protein Fitness Modeling at the Broad Institute: Models, Inference, and Algorithms (MIA).