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, information and signal processing, and biological design and engineering. I develop tools and algorithms that enable machines to learn, predict, scale, adapt, and be explained to solve most challenging biological science and engineering problems. Our solutions are usually enabled by a theoretical understanding of the underlying mathematical problems. For that reason, our group is a well-balanced mix of theory, algorithms, and real-world applications.

Some of the currect directions include:

• Explainable, scalable, and safe AI4Science
• ML/AI-guided protein design and optimization
• Agentic AI for scientific discovery

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.