Alan Robledo
Graduate Researcher
Los Angeles Metropolitan Area United States
Summary
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Senior🎓
Top SchoolAlan Robledo is a graduate researcher and PhD candidate at NYU specializing in theoretical chemistry and the path integral formulation of quantum mechanics to probe nuclear quantum effects in molecular systems. With nine years of research and teaching experience, he brings a multidisciplinary foundation—BSs in Applied Physics and Chemistry and an AS in Mathematics—that spans theory, simulation, and scientific software development. His work blends advanced numerical methods and scripting (Fortran, Python, Bash, Tcl/Tk) to automate complex analyses and visualizations for nonadiabatic molecular dynamics and electronic structure data. He has taught and mentored at multiple institutions, translating deep theory into accessible instruction and practical tools. Based in the Los Angeles area, Alan pairs rigorous academic inquiry with hands-on coding to push computational chemistry methods forward. A less obvious strength is his sustained focus on end-to-end workflows, from low-level algorithms to interactive visualization, enabling reproducible, interpretable simulations.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical Chemistry, Doctor of Philosophy - PhD, Theoretical Chemistry at New York UniversityAssociate of Science - AS, Mathematics, Associate of Science - AS, Mathematics at Ventura CollegeUniversity of California, Irvine
Spanish, EnglishProgramming languages (3)
Github contributions (5)
arobled1/Courses_UCI
Jan 2018 - Mar 2020
Graduate Courses taken at the University of California, Irvine.
Contributions:102 pushes in 2 years 1 month
graduateirvine
arobled1/python_examples
Apr 2019 - Sep 2019
Contributions:49 commits, 48 pushes, 1 branch in 5 months
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