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Amiel PazAP
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Amiel Paz

@amielpaz

Postdoctoral research scientist developing GPU-accelerated quantum chemistry software for excited-state and nonadiabatic dynamics.

United States
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What I'm looking for

I’m looking for a role where I can build and optimize GPU/HPC scientific software for excited-state and nonadiabatic dynamics—translating rigorous quantum chemistry methods into fast, scalable workflows that enable impactful research.

I’m a Postdoctoral Researcher in the Department of Chemistry at Stanford University, focused on nonadiabatic dynamics and excited-state simulation. My work includes contributing to the 2024 Journal of Chemical Physics paper on predicting the photodynamics of 200 nm excited cyclobutanone using linear-response electronic structure and ab initio multiple spawning.

I bring 7+ years of experience writing, testing, and maintaining performance-sensitive C/C++ in proprietary GPU-accelerated scientific codebases, including TeraChem. I’ve advanced excited-state and nonadiabatic molecular simulation by continuing development of TeraChem and FMS/AIMS, with a strong emphasis on analytic gradients, nonadiabatic couplings, and method robustness.

Previously, during my Ph.D. research at New York University, I authored 8 peer-reviewed publications (including 3 first-author method papers) and developed new capabilities across 2 research codebases (TeraChem and FMS/AIMS). I implemented SA-CASSCF dipole and Boys diabatic state analytical gradients for geometry optimization, developed QE gradients and nonadiabatic couplings for unprecedented excited-state dynamics of the photoexcited hydrated electron, and modified FMS/AIMS to support propagation and spawning on on-the-fly quasidiabatic electronic states—scaling workflows via parallelization and containerization (Docker, Singularity) on HPC clusters.

Experience

Work history, roles, and key accomplishments

SU
Current

Postdoctoral Researcher

Stanford University

Jan 2023 - Present (3 years 4 months)

Contributed to nonadiabatic dynamics and excited-state simulation, including work published in 2024 on predicting photodynamics of 200 nm excited cyclobutanone using linear-response electronic structure and ab initio multiple spawning. Continued development of TeraChem and FMS/AIMS for excited-state and nonadiabatic molecular simulation.

NU

Ph.D. Researcher

New York University

Jan 2018 - Jan 2023 (5 years)

Conducted computational chemistry research across multiconfigurational electronic structure, excited-state dynamics, and charge-transfer in complex environments. Developed and implemented methods in TeraChem and FMS/AIMS, including analytical gradients for SA-CASSCF dipoles/Boys diabatic states and gradients and nonadiabatic couplings for the Quasiparticle Energies (QE) method, enabling advanced e

Education

Degrees, certifications, and relevant coursework

Stanford University logoSU

Stanford University

Postdoctoral Researcher, Chemistry

2023 -

Postdoctoral researcher in the Department of Chemistry working on nonadiabatic dynamics and excited-state simulation, including continued development of TeraChem and FMS/AIMS.

New York University logoNU

New York University

Ph.D. in Chemistry, Chemistry

2018 - 2023

Ph.D. research in Chemistry focused on quantum chemistry, multiconfigurational electronic structure, excited-state dynamics, and charge-transfer problems, with method development across TeraChem and FMS/AIMS.

Stanford University logoSU

Stanford University

Bachelor of Science (Dual), Bioengineering and Chemistry

2014 - 2018

Dual B.S. degrees in Bioengineering and Chemistry at Stanford University.

Tech stack

Software and tools used professionally

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