Amirali Aghazadeh

Georgia Tech

prof_pic.jpg

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/.

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.
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!

selected publications

  1. OLF.png
    GOLF: A Generative AI Framework for Pathogenicity Prediction of Myocilin OLF Variants
    Thomas Alan Walton, Darin Tsui, Lauren Fogel, and 4 more authors
    Accepted Machine Learning in Computational Biology (MLCB), 2025
  2. AstroAgents.png
    AstroAgents: A Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data
    Daniel Saeedi, Denise Buckner, José Aponte, and 1 more author
    International Conference on Learning Representation (ICLR) Workshop on Towards Agentic AI for Science: Hypothesis Generation, Comprehension, Quantification, and Validation, 2025
  3. fourier.jpg
    Efficient Algorithm for Sparse Fourier Transform of Generalized q-ary Functions
    Darin Tsui, Kunal Talreja, and Amirali Aghazadeh
    Accepted IEEE Information Theory Workshop (ITW), 2025