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, where I am a program faculty of Machine Learning, Bioinformatics, and Bioengineering PhD programs. I also have affiliations with the Institute for Data Engineering and Science (IDEAS) and the Parker H. Petit Institute for Bioengineering and Bioscience. Before joining Georgia Tech, I was a postdoc at Stanford and UC Berkeley and I did my PhD at Rice University.
I am interested in Machine Learning, Signal Processing, Deep Learning, and Computational Biology. My research goal is to advance how machines can learn, predict, and adapt at scale to solve problems in and inspired by emerging technologies and sciences, from biology to chemistry and physics. We draw from and contribute to core areas in math, stat, and computer sciences such as optimization, harmonic analysis, hashing/sketching/streaming, and high-dimensional statistics. Our current research focuses are:
- ML/AI for Science: generative & geometric modeling for sciences
- Core ML/AI: explainability & robustness in combinatorial spaces
- Scalable ML/AI: learning and inference in massive scales
I pronounce my first name /æmi:r’æli:/ and last name /ægə’zɑdɛ/.
Applicants: If you have a solid foundation in mathemathics and statistics, are proficient in programming, and have a keen interest in AI Foundations for Science, please send your CV to me via email. Include 1-2 sentences explaining your interest in joining our group. We are always looking for new members in our group.
For PhD applicants in Machine Learning: To work with me, please apply to the ML PhD program under the School of ECE. You will be able to work me if you have a different home school (CS, CSE, etc.).
For PhD applicants in Bioengineering: To work with me, please apply to the Bioengineering program under the School of ECE. You will be able to work me if you have a different home school (BME, CHBE, etc.).
For PhD applicants in Bioinformatics: You will be able to work with me regardless of your home school (CSE, BME, etc.).
news
Apr 4, 2024 | Huge congrats to Darin Tsui for receiving the NSF GRFP! |
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Mar 4, 2024 | Our new paper on recovering high-order interactions from protein language models is accepted to the ICLR Workshop on Generative and Experimental perspectives in bioMolecular design (GEM). |
Jan 5, 2024 | We are awarded the Institute for Electronics and Nanotechnology , IEN-1000x seed grant to develop a high resolution acquisition technique for proteins in collaboration with our ChBE colleague Vida Jamali |
Nov 8, 2023 | We are excited to host the candidates at the EECS Rising Star Workshop 2023 at Georgia Tech where I serve as one of the faculty mentors. |
Oct 20, 2023 | Happy to receive seed funding grants from the Institute for Data Engineering and Science (IDEAS) to lead the AI for Chemical and Materials Discovery and Microscopy with three other amazing colleagues at GT. |