Chao Jiang

Data Scientist

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

United StatesMember since June 25, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'GAFNC' (Graph Neural Networks), 'CE-FGAT' (Generative-Adversarial Training), and 'deep_denoising_knowledge_graph'.
Experience with Python, a core language for Data Science.
Exposure to various data science related tools and concepts such as Jupyter Notebooks and knowledge graphs.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented personal projects, particularly in areas like Graph Neural Networks and Generative Adversarial Networks. This indicates a potential fit for roles that value independent research, problem-solving, and continuous learning. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment.

Soft Skills & Operational Fit

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

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Projects

CE-FGAT

March 2, 2023 – March 2, 2023

Cost-Effective Fake node camouflaging with Generative-Adversarial Training

View Project

GAFNC

May 4, 2022 – May 4, 2022

Camouflaged Poisoning Attack on Graph Neural Networks

View Project

project_test

December 15, 2021 – December 15, 2021

project_test — GitHub repository

View Project

deep_denoising_knowledge_graph

September 29, 2021 – October 8, 2021

deep_denoising_knowledge_graph — GitHub repository

View Project

NoiseRemovalinRawKnowledgeBase

June 5, 2021 – June 5, 2021

NoiseRemovalinRawKnowledgeBase — GitHub repository

View Project

Fed_GLMM

December 2, 2019 – April 19, 2020

Privacy-preserving Construction of Generalized Linear Mixed Model for Biomedical Computation

View Project

GAN-AAE

July 16, 2018 – June 9, 2018

GAN-AAE — GitHub repository

View Project

jemdoc-tutorial

April 7, 2018 – April 7, 2018

Source files for using jemdoc

View Project

Count-Everything

November 17, 2016 – May 13, 2017

Project website: http://counteverything.ucsd-dbmi.org/

View Project

IOS-App

April 14, 2016 – December 7, 2016

Academic Integrity APP

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'GAFNC' (Graph Neural Networks), 'CE-FGAT' (Generative-Adversarial Training), and 'deep_denoising_knowledge_graph'.
Experience with Python, a core language for Data Science.
Exposure to various data science related tools and concepts such as Jupyter Notebooks and knowledge graphs.

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 are available.

Chao Jiang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit