PeopleofSuperintelligence

Researcher

Amirali Aghazadeh

Also known as Amirali Aghazadeh Mohandesi

Amirali Aghazadeh is a machine-learning researcher who applies AI to scientific questions. He earned a B.S. in electrical engineering from Sharif University of Technology in 2010 and a Ph.D. in electrical and computer engineering from Rice University in 2017, then completed postdoctoral training at Stanford and UC Berkeley. His work includes MISSION for ultra-large-scale feature selection, Epistatic Net for biological fitness prediction, and SHAP zero for interpreting biological sequence models at scale. He joined Georgia Tech's School of Electrical and Computer Engineering as an assistant professor in 2022 and co-led the IDEaS-funded AI for Chemical and Materials Discovery and Microscopy project in 2023. With Ph.D. student Daniel Saeedi, he developed AstroAgents to analyze meteorite and Earth soil mass-spectrometry data and propose hypotheses about life's origins; as of October 2026, he is an assistant professor in Georgia Tech's ECE.

Links
X, LinkedIn and GitHub

Timeline

  1. 2010–2017

    Degrees at Sharif and Rice

    He earns a B.S. in electrical engineering from Sharif University of Technology in 2010 and a Ph.D. in electrical and computer engineering from Rice University in 2017.

  2. 2017–2022

    Postdoctoral training at Stanford and Berkeley

    From 2017 to 2022, he completes postdoctoral training in machine learning and signal processing at Stanford University and UC Berkeley. He spends three years in Berkeley's Electrical Engineering and Computer Sciences department and two years in Stanford's Electrical Engineering department.

  3. 2018

    MISSION for feature selection

    In 2018, he coauthors MISSION, a Count-Sketch framework that uses stochastic gradient descent for ultra-large-scale feature selection while retaining feature interpretability.

  4. 2021

    Epistatic Net for fitness prediction

    In 2021, he coauthors Epistatic Net, which uses sparse spectral regularization to improve deep neural networks' predictions on biological fitness landscapes and estimate higher-order epistatic interactions.

  5. 2022

    Assistant professor at Georgia Tech

    In fall 2022, he joins Georgia Tech's School of Electrical and Computer Engineering (ECE) as an assistant professor, coming from UC Berkeley's EECS department.

  6. 2023

    AI for chemical and materials discovery

    In 2023, he co-leads IDEaS-funded AI for Chemical and Materials Discovery and Microscopy with three Georgia Tech colleagues.

  7. 2025

    SHAP zero for sequence models

    In 2025, he coauthors SHAP zero, an algorithm that amortizes Shapley-value computation across large biological datasets so future model queries have near-zero marginal cost.

  8. Since 2022

    AstroAgents and Georgia Tech ECE

    In June 2026, he and Ph.D. student Daniel Saeedi develop AstroAgents, an AI system that analyzes mass-spectrometry data from meteorites and Earth soil to generate hypotheses about life's origins. His research connects machine learning, deep learning, and applied mathematics with problems in genomics, biology, and other sciences. As of October 2026, he is an assistant professor in Georgia Tech's School of Electrical and Computer Engineering.

Career

  1. From 2022Georgia Institute of TechnologyAssistant Professor
  2. 2017–2022Stanford University
  3. 2017–2022University of California, Berkeley

Education

  1. 2017Rice UniversityPh.D.
  2. 2010Sharif University of TechnologyB.S.

From the biography.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Georgia Institute of Technology. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Georgia Institute of Technology. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes Georgia Institute of Technology. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.
  4. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes Georgia Institute of Technology. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Amirali Aghazadeh yet. Send us a free-licensed photo.

  1. Amirali Aghazadeh Mohandesi - Georgia Tech School of Electrical and Computer Engineering ece.gatech.edu. Checked 21 October 2026.
  2. MISSION: Ultra Large-Scale Feature Selection using Count-Sketches proceedings.mlr.press. Checked 21 October 2026.
  3. Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions nature.com. Checked 21 October 2026.
  4. ECE Welcomes New Faculty Members ece.gatech.edu. Checked 21 October 2026.
  5. News | Amirali Aghazadeh amirmohan.github.io. Checked 21 October 2026.
  6. SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries proceedings.neurips.cc. Checked 21 October 2026.
  7. How Agentic AI is Rethinking the Origins of Life on Earth news.research.gatech.edu. Checked 21 October 2026.
  8. Amirali Aghazadeh amirmohan.github.io. Checked 21 October 2026.