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, signal processing, and information systems for scientific discovery. My research develops scalable methods for learning, inference, interpretation, and decision-making in complex physical and combinatorial systems, with applications spanning biology, chemistry, and scientific imaging. Current research directions include:

• Discrete generative models and diffusion processes
• Learning and design in high-dimensional sequence-function spaces
• Mechanistic interpretability and controllable AI systems
• Agentic and autonomous AI for scientific discovery
• Computational sensing and inverse problems, including cryo-EM
• AI safety and biosecurity for scientific AI systems

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: Adaptable Computing for Omics.
• 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).