Yuan (Cyrus) Chiang

@chiang-yuan

PhD resident @google @theteamatx | PhD student @astagroup at UC Berkeley and LBNL

UC Berkeley, Lawrence Berkeley National Laboratory Berkeley

Followers

Following

Public Repos

Private Repos

Language Breakdown

Lines of code distribution across 11 owned repositories

4.1M Total LOC

Jupyter Notebook

2,589,795 lines

63.5%

N/A

HTML

652,154 lines

16.0%

N/A

Python

371,997 lines

9.1%

N/A

C++

225,228 lines

5.5%

N/A

64,281 lines

1.6%

N/A

Other

172,254 lines

4.2%

N/A

I-Shaped Developer

I-shaped

Specialist — deep expertise in Jupyter Notebook

Jupyter Notebook

HTML

Python

C++

Collaboration Network

Global Impact visualization

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0 active collaborators

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Growth

+18%

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Coding Streak

Contribution activity over the past year

3 days

418

Contributions

Commits

Pull Requests

Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun

Based on GitHub activity

Less

Followers 84

dingjun xiao

@xhemers

JiaBSH

@JiaBSH

Tom

@mechanics-123

Winnie Sheng

@princesswinnie1122

Kim, Seongsu

@seongsukim-ml

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Following

37 total

Abhijeet Gangan

@abhijeetgangan

Ryan-Rhys Griffiths

@Ryan-Rhys

Seán Kavanagh

@kavanase

Trung Vo

@btrungvo

Mit Kotak

@mitkotak

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Synced via GitHub

Top Repositories

llamp

[EMNLP '25] A web app and Python API for multi-modal RAG framework to ground LLMs on high-fidelity materials informatics. An agentic materials scientist powered by @materialsproject, @langchain-ai, and @openai https://aclanthology.org/2025.emnlp-main.1280/

99 16

Jupyter Notebook

csh4lmp

The computational modeling tool for custom atomistic model of calcium-silicate-hydrates (C-S-H)

23 8

C++

CADReality

3D realtime design drawing, modification and presentation using augmented reality technology on the Unity platform.

11 3

muse

A python package for fast building amorphous solids and liquid mixtures from @materialsproject computed structures and machine learning interatomic potentials

10 0

Python

ProDAR

PyTorch implementation of Protein Dynamically Activated Residues (ProDAR) for dyamics-informed protein function prediction/annotation

CUDA C++ code implementing GPU-accelerated Lattice Spring Model (CuLSM) simulations.

4 1

C++