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 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, including:
- ML/AI-guided protein design & optimizaiton
- Variant effect prediction
- Accelerated/guided sequence generation
- Origins of life and biosigniture discovery
- AI for protein imaging
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.
news
Jul 30, 2025 | We won the IDEaS GenAI for Science competition! With support from Microsoft Azure, we will develop the next generation of agentic AI tools to accelerate scientific discovery. |
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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! |
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! |