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 focuses on the algorithmic foundations of AI for scientific discovery, particularly in molecular biology and chemistry. Drawing on machine learning, signal processing, information theory, and randomized algorithms, my group develops methods to learn protein function from limited experimental data, understand and control foundation models, enable efficient sequence generation, and secure scientific reasoning. Current research directions include:

• Mechanistic interpretability and control of biological foundation models
• Efficient and controllable discrete generative algorithms
• Scientific agents, autonomous discovery, and biological AI safety
• 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 Tale of Three Sparsities in 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).