Paul Hanakata
Internal Consultant at Ab Initio Software
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolPaul Hanakata is a computational scientist and internal consultant with eight years of experience applying machine learning and numerical simulation to inverse design and optimization problems, currently a postdoctoral fellow in Harvard’s Physics Department. He builds efficient, scalable models and customized neural networks (TensorFlow) to inverse-design soft membranes and molecular systems, and develops DCNN-based search algorithms for stretchable electronic materials. His work spans molecular dynamics (HOOMD-blue, LAMMPS), Monte Carlo, Langevin formulations, and DFT for 2D materials in ferroelectrics, valleytronics, and spintronics, having generated and analyzed terabytes of simulation data across GPU clusters. Not obvious from his title: he routinely reduces computational complexity with effective continuum and tight-binding models and has cut heavy O(N^3) calculations down to O(N^2) in past work. Passionate about algorithmic efficiency and GPU acceleration, he combines deep theoretical physics training (PhD, Boston University) with hands-on coding in Python, C, and Matlab to turn complex simulations into practical design tools.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA (Summa Cum Laude), Physics and Mathematics, Bachelor of Arts - BA (Summa Cum Laude), Physics and Mathematics at Wesleyan UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Boston University
English, Indonesian
Github Skills (11)
mechanics5
machine-learning4
configurations4
binding4
dynamics4
atomic4
deep-learning3
python3
simulation3
simulations3
tensorflow3
Programming languages (1)
Github contributions (5)
phanakata/tight-binding
Feb 2018 - Sep 2022
Contributions:1 release, 2 PRs, 53 pushes in 4 years 8 months
pythonmolecular-dynamicspropertiessimulationssimulation
phanakata/ML_for_kirigami_design
Mar 2018 - Jan 2021
Contributions:1 release, 80 commits, 59 pushes in 2 years 10 months
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