MA Jian

Data Scientist

https://talent.gravityer.com/ma-jian

PhD, Tsinghua University

BeijingMember since June 30, 2026

Key Strengths

Extensive research experience in statistical methods, particularly copula entropy and information theory.
Strong proficiency in R and Python for statistical modeling and data analysis.
Demonstrated ability to apply advanced statistical concepts to various problems (e.g., change point detection, variable selection, system identification).
Experience in developing and contributing to open-source statistical packages (e.g., pycopent, copent).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on academic research and development of statistical methodologies, primarily in R and Python. This indicates a strong inclination towards deep analytical work and scientific contribution. The alignment with a 'Data Scientist' role is strong in terms of analytical depth and statistical expertise. However, the lack of diverse project types (e.g., industry applications, large-scale data processing, MLOps) might suggest a narrower scope of experience in typical industry data science roles. The candidate's experience level is listed as 0, which contradicts the depth of their research projects, suggesting a potential misclassification or a focus on academic rather than industry experience.

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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Projects

tch

October 26, 2025 – Present

Code for the paper "Testing Copula Hypothesis with Copula Entropy"

View Project

cpd

February 7, 2024 – June 15, 2025

Code for the paper "Change Point Detection with Copula Entropy based Two-Sample Test"

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nhanes

July 6, 2023 – November 10, 2024

Code for the paper "Discovering Association with Copula Entropy"

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sysid

April 25, 2023 – November 16, 2024

Code for the paper "System Identification with Copula Entropy"

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timelag

January 18, 2023 – October 2, 2025

Code for the paper "Identifying time lag in dynamical systems with copula entropy based transfer entropy"

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eval

May 17, 2022 – September 21, 2024

Code for the Paper "Evaluating Independence and Conditional Independence Measures"

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transferentropy

November 26, 2020 – April 7, 2023

Code for the paper "Estimating Transfer Entropy via Copula Entropy"

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aps2020

July 29, 2020 – May 9, 2022

Code for the paper 'Variable Selection with Copula Entropy' published on Chinese Journal of Applied Probability and Statistics

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copent

April 15, 2020 – June 7, 2024

R package for estimating copula entropy (mutual information), transfer entropy (conditional mutual information), and the statistic for multivariate normality test and two-sample test

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pycopent

March 30, 2020 – October 2, 2024

Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

View Project

Key Strengths

Extensive research experience in statistical methods, particularly copula entropy and information theory.
Strong proficiency in R and Python for statistical modeling and data analysis.
Demonstrated ability to apply advanced statistical concepts to various problems (e.g., change point detection, variable selection, system identification).
Experience in developing and contributing to open-source statistical packages (e.g., pycopent, copent).

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.

MA Jian

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit