Consulting Services
Dr. Hasyim offers scientific consulting services and provides computational solutions to difficult scientific and engineering problems. He is active in the area of machine learning, energy storage systems, and computational chemistry. He assists clientele, ranging from independent inventors to startup companies, in developing and evaluating their proprietary technologies through computer simulations.
Dr. Hasyim is open to all areas of science and engineering. Some technical accomplishments include:
- Modeled energy storage devices such as fuel cells, electrolyzers, and lithium-ion batteries using Python software stack (PyBAMM/PyBOP) and finite element analysis (COMSOL)
- Built computational drug discovery pipeline integrating protein structure loading, molecular docking, and ADMET analysis using AlphaFold, RDKit, RCSB API, OpenMM, and DiffDock
- Delivered physics-based machine learning solutions for applications ranging from sensor technologies to fraud detection
Conflict of Interest Disclosure
Dr. Hasyim is currently a paid consultant for Vivamed, Branca Industries, and HEDI.
Client Portfolio
Some examples of projects completed (released with client’s consent):
Stability of Planets
Optimized stability of cohorts of planets, orbiting around the sun with the same radius. Simulations done using REBOUND and Bayesian Optimization in scikit-optimize.
Cement Paste Carbonation
Reproduced a 1D PDE reaction-diffusion model of cement paste carbonation and hydration. Calculations done using MATLAB.
Open Source Projects
In addition to academic research work, Dr. Hasyim develops and contributes to various open-source packages and projects:
Semiclassical-NAMD
A Python package to perform non-adiabatic (mixed quantum classical) dynamics. Contributed to MASH implementation.
ParallelSwapMC
A plug-in for HOOMD-Blue to perform the SWAP algorithm in parallel for particles with continuous polydispersity.
PolydisperseMD
A plug-in for HOOMD-Blue to implement pair potentials of particles with continuous polydispersity for molecular dynamics.
PyGlassTools
A Python module for performing data analysis of atomistic trajectories relevant for glasses and supercooled liquids.
PyFDAM
A Python module that fits impedance spectroscopy data of electrochemical capacitors and predicts charge-discharge data.
Contact Form
Interested in working together? Please reach out to discuss your project needs.