Amirali Aghazadeh
Coda S1209
Tech Square
Atlanta, GA 30308
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 interests lie at the intersection of Machine Learning, Signal Processing, Deep Learning, and Computational Biology. I develop tools and algorithms that enable machines to learn, predict, and adapt to solve engineering problems—especially those arising from the natural sciences, including biology, chemistry, and physics.
I pronounce my first name /æmi:r’æli:/ and last name /ægə’zɑdɛ/.
Watch my talk on Sparsity, Epistasis, and Models of Fitness Functions at Broad Institute: Models, Inference and Algorithm (MIA)
news
| May 02, 2025 | Check out the story of our work on developing AI Scientists for hypothesis generation about Origins of Life in journal Nature. Many thanks to Celest Biever for covering this! |
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| Apr 25, 2025 | Tom gave a presenation on mutant effect prediction with AI in EYE CONNECT AI Learning at Emory. Also congrats on passing the qualification exams! |
| Mar 12, 2025 | I am giving a talk at APS on Explaining High-order Interactions in Protein Language Models |
| Mar 10, 2025 | Huge congrats to Daniel Saeedi for his work being accepted for an oral presentation in ICLR 2025 Workshop on Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation. Stay tuned for the preprint! |
| Feb 13, 2025 | I am giving a talk at ITA on Scaling Explainability: Fast Algorithms to Decode Ever-Growing ML Models |
