Jiashu Liang

Data Scientist

https://talent.gravityer.com/jiashu-liang

Ph.D. student at UC Berkley Quantum Chemistry and Machine Learning

University of California

Key Strengths

Strong foundation in Python for scientific computing and data manipulation, evidenced by multiple personal projects.
Experience with C++ and CUDA, indicating capability in high-performance computing and potential for optimizing data science models.
Exposure to various scientific computing tools and methodologies through projects like THEMol, NonLinearNewtonNet, and iShiftML.
Current role as a Data Scientist at a university suggests practical application of data science principles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on scientific computing and quantum chemistry, which aligns with a research-oriented data scientist role. The diversity of tools (Python, C++, CUDA, Jupyter Notebook) shows adaptability. However, the lack of collaborative projects or explicit team-oriented descriptions makes it difficult to assess broader cultural fit beyond technical alignment. The single current role as 'Data Scientist' at a university is a good fit for the target role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Assessing your cultural and operational fit

Projects

THEMol

May 15, 2026 – Present

THEMol — GitHub repository

View Project

COACH

March 1, 2026 – Present

COACH functional training protocal

View Project

GSCDB

July 20, 2025 – Present

Gold-Standard Chemical Database 138 (GSCDB138)

View Project

ChargeEMD

August 7, 2023 – Present

ChargeEMD — GitHub repository

View Project

GPUChem

April 25, 2023 – May 11, 2023

A Quantum Chemistry package to run on GPU

View Project

NonLinearNewtonNet-Public

December 8, 2022 – December 8, 2022

NonLinearNewtonNet-Public — GitHub repository

View Project

iShiftML

November 18, 2021 – June 10, 2025

Predicting CCSD(T)/CBS level chemical shieldings for H/C/N/O using wB97X-V/pcSseg-1 level DFT calculations

View Project

public

February 24, 2020 – February 24, 2020

public — GitHub repository

View Project

Key Strengths

Strong foundation in Python for scientific computing and data manipulation, evidenced by multiple personal projects.
Experience with C++ and CUDA, indicating capability in high-performance computing and potential for optimizing data science models.
Exposure to various scientific computing tools and methodologies through projects like THEMol, NonLinearNewtonNet, and iShiftML.
Current role as a Data Scientist at a university suggests practical application of data science principles.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Jiashu Liang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit