PeopleofSuperintelligence

Researcher

Andrew S. Rosen

Andrew S. Rosen is a chemical engineer whose research uses machine learning and quantum chemistry to study solid-state materials. He earned a B.S. in chemical engineering at Tufts in 2015 and a Ph.D. at Northwestern in 2021; he was lead author of research on machine-learning prediction for metal–organic frameworks. At UC Berkeley, he held a Miller Research Fellowship in Kristin Persson’s group before starting his faculty career at Princeton in 2024. As of October 2026, he is an assistant professor who leads a group developing computational tools for materials science.

Works
83
Citations
4,272
h-index
25

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 2015–2021

    Chemical engineering degrees

    He earns a B.S. in chemical engineering at Tufts in 2015 and a Ph.D. in the field at Northwestern in 2021.

  2. 2021

    Machine learning for MOFs

    In 2021, he is lead author of “Machine Learning the Quantum-Chemical Properties of Metal–Organic Frameworks for Accelerated Materials Discovery”; the team's algorithm predicts MOF electronic properties from a chemical structure in a fraction of a second.

  3. 2021–2024

    Miller fellowship at Berkeley

    From 2021 to 2024, he is a Miller Research Fellow at UC Berkeley. He joins Kristin Persson’s group after doctoral research on metal–organic frameworks at Northwestern.

  4. December 2023

    An atomistic foundation model

    In a preprint first submitted in December 2023, he coauthors “A foundation model for atomistic materials chemistry,” which describes a general-purpose atomistic machine-learning model for stable molecular dynamics across molecules and materials.

  5. Since 2024

    Professor at Princeton

    His faculty career starts at Princeton in 2024, where he is an assistant professor of chemical and biological engineering. In September 2026, he coauthors a paper presenting the Quantum Accelerator (QuAcc), an open-source workflow library for atomistic simulations with an emphasis on quantum-mechanical calculations. As of October 2026, he leads the Rosen Research Group, which uses high-throughput computing, machine learning and quantum-chemical simulations to design materials and study their stability.

Career

  1. Since 2024Princeton UniversityAssistant Professor of Chemical and Biological Engineering
  2. NowPrinceton UniversityLeader, Rosen Research Group
  3. 2022–2025Office of Science
  4. 2021–2024University of California, BerkeleyMiller Research Fellow

Education

  1. 2021Northwestern UniversityPh.D. in chemical engineering
  2. 2015Tufts UniversityB.S. in chemical engineering

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Colleagues

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

Sources and credits

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  1. Andrew S. Rosen — Rosen Research Group rosen.cbe.princeton.edu. Checked 27 October 2026.
  2. Algorithm Could Allow Faster Adoption of Versatile Materials | News | Northwestern Engineering mccormick.northwestern.edu. Checked 27 October 2026.
  3. Kristin Persson's Research Group: People perssongroup.lbl.gov. Checked 27 October 2026.
  4. A foundation model for atomistic materials chemistry arxiv.org. Checked 27 October 2026.
  5. Democratizing Atomistic Simulation Workflows for the AI Era with the Quantum Accelerator arxiv.org. Checked 27 October 2026.
  6. Andrew S. Rosen - Princeton Engineering engineering.princeton.edu. Checked 27 October 2026.