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 for the Machine Learning, Bioinformatics, and Bioengineering Ph.D. programs. I am also affiliated with the Institute for Data Engineering and Science (IDEaS) and the Parker H. Petit Institute for Bioengineering and Bioscience. Prior to Georgia Tech, I was a postdoctoral researcher at Stanford and UC Berkeley, and earned my Ph.D. at Rice University.

My research lies at the intersection of machine learning and AI, signal and information processing, and biological design and engineering. I develop principled algorithms and theoretical tools for building scalable, interpretable, and design-oriented AI systems, with a focus on understanding and engineering biological function. Current research directions are:

• Foundations of Machine Learning: Fast inference, diffusion and generative models, and high-dimensional statistical learning
• AI Safety and Interpretability: Mechanistic interpretability and reasoning, Fourier-based explanation methods
• AI for Science: Protein design, sequence-function maps, cryo-EM modeling, and computational studies of the origins of life

I pronounce my first name /æmi:r’æli:/ and last name /ægə’zɑdɛ/.

• Watch my talk on Sparsity, Epistasis, and Models of Protein Fitness Functions at Broad Institute: Models, Inference and Algorithm (MIA).
• Watch my talk on Agentic AI for Hypothesis Generation: ICLR Agentic AI Workshop.