Jiang Yi (蒋艺)

Data Scientist

https://talent.gravityer.com/jiang-yi

University of Chinese Academy of Sciences

Member since June 29, 2026

Key Strengths

Strong foundational experience in Python and C++ for scientific computing and data analysis.
Extensive personal project experience in Partial Wave Analysis (PWA) using TensorFlow, demonstrating practical application of machine learning in physics.
Familiarity with various computational back-ends and tools like Jupyter Notebook, Julia, and CUDA.
Experience with building custom TensorFlow operations (tf-pwa-op) indicates a deep understanding of framework internals.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on academic/scientific computing, specifically in physics (Partial Wave Analysis). While this demonstrates deep technical expertise in a niche area, the breadth of exposure to diverse data science applications or business contexts is limited. The single listed professional experience as 'Data Scientist' at a university aligns with their project focus but lacks detail for a comprehensive cultural fit assessment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project work.

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Projects

pwa-web-tools

May 23, 2026 – Present

Web tools for partial wave analysis

View Project

fix_pw_fitter

June 17, 2025 – Present

Partial wave analysis fitter when shape is fixed.

View Project

B2DxDK.jl

February 21, 2025 – Present

B2DxDK.jl — GitHub repository

View Project

pylaura

November 18, 2024 – December 28, 2024

pylaura — GitHub repository

View Project

pylooptools

September 25, 2024 – September 25, 2024

LoopTools interface for Python

View Project

tf-pwa-evtgen

September 25, 2023 – November 4, 2023

EvtGen Model for TFPWA

View Project

compwa.github.io

May 14, 2021 – Present

Source code for the ComPWA Organization website

View Project

tf-pwa-op

April 24, 2021 – March 3, 2025

TensorFlow op for TFPWA

View Project

tf-pwa

September 14, 2020 – Present

Partial Wave Analysis using TensorFlow.

View Project

tensorwaves

March 2, 2020 – Present

Python fitter package for multiple computational back-ends

View Project

Key Strengths

Strong foundational experience in Python and C++ for scientific computing and data analysis.
Extensive personal project experience in Partial Wave Analysis (PWA) using TensorFlow, demonstrating practical application of machine learning in physics.
Familiarity with various computational back-ends and tools like Jupyter Notebook, Julia, and CUDA.
Experience with building custom TensorFlow operations (tf-pwa-op) indicates a deep understanding of framework internals.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project work.

Jiang Yi (蒋艺)

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit