I dive deep in Computational Science and code a lot

I work with Professor Marian when I was a Ph.D. student and has been investigated in various modeling problems.

Download My CV

I am Shu Huang, Ph.D.

Computational Science Researcher And Software Developer Based in Bay Area, CA USA.

I love to explore the physical mechanisms behind material phenomena. But I also use machine learning to let data speak. In UCLA, I worked on multi-scale modeling, fusion energy research, and advanced simulations for materials behavior.

I design and implemente data-driven modeling solutions. I'm passionate about using computational techniques like Kinetic Monte Carlo, Ab Initio etc. to solve real-world problems. I also enjoy coding in Java, Python, exploring new technologies, and applying machine learning to materials science.

me

“Man is only a reed, the weakest in nature; but he is a thinking reed.”

-Blaise Pascal

My Skills

When I'm not immersed in simulations, you'll probably find me experimenting with new coding projects or diving into the latest advancements in AI and computational modeling.

95.2%

Applied Physics & Materials Science

Exp 8 years

75.2%

Fusion Energy Research

Exp 8 years

85.6%

Database & Backend Developer

Exp 5 years

Computational Science Skills

I am a computational science researcher with a strong background in modeling and simulation, specializing in computational techniques such as Kinetic Monte Carlo (KMC), Ab Initio (VASP), Machine Learning (ML), Finite Element Methods (FEM), and Molecular Dynamics (MD). With extensive experience in programming languages including Java, Python, PyTorch, JavaScript, and HTML, I develop and implement high-performance simulations to solve complex scientific and engineering problems. Passionate about computational research, I thrive at the intersection of physics, materials science, and software development.




KMC
90% Complete
Ab Initio
80% Complete
FEM
75% Complete
MD
75% Complete
ML
75% Complete

Experience


8 Years Experience!

My experiences honed my expertise in computational modeling, algorithm development, and data-driven material analysis..

Computational Materials Science

Ph.D. Student

2016 - 2022
My research focused on fusion reactor materials, where I derived analytical expressions for diffusion-controlled reactions and validated these expressions through simulations. My work also involved machine learning applications for predictive models for tungsten oxidation, Kinetics Monte Carlo models to simulate multi-layer tungsten oxidation, Finite Element Methods (FEM) in C++ and COMSOL to analyze mechanical responses in multiferroic devices.
Computer Simulations

Teaching Assistant in UCLA

2017 - 2020
For MSE 270: Computer Simulations of Materials at UCLA, I guided students in understanding computational modeling methods, including statistical mechanics, classical molecular dynamics, and Monte Carlo simulations.
Summer Schools & Intern

Attendee

2018 - 2019
I have attended prestigious summer schools and workshops, including the Modeling Experimentation Validation Summer School at Oak Ridge National Laboratory and the Dislocation Dynamics with Kinetic Monte Carlo program at Los Alamos National Lab.
Team Managment

Engineering Manager

2016
As an Engineering Manager at Alpha Ring LLC, I played a key role in developing fusion reactor systems and optimizing vacuum cooling mechanisms. I led efforts to enhance power input-output efficiency using LabVIEW. This experience strengthened my leadership, system engineering, and data-driven optimization skills in the field of fusion technology.

Portfolio

Let's Keep In Touch!

Thank you for visiting out my profile. If you would like to get into contact with me, please fill out the form below.

Address:

Shu Huang
5451 Great America Parkway, Suite 401,
Santa Clara, CA USA 95054

Email:

shuhuangucla@gmail.com