Yue Huang

Data Scientist

https://talent.gravityer.com/yue-huang

Ph.D. Student @YuBehaviorLab | Neuroscience

Peking University

Key Strengths

Demonstrated proficiency in Python and MATLAB for scientific computing and data analysis.
Experience with Jupyter Notebooks for data exploration and presentation.
Exposure to C++ and CUDA, indicating potential for performance optimization in data-intensive tasks.
Projects like 'pyDANT' and 'rateRNN_Mujoco' align with data science methodologies, particularly in neural data processing and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, focusing on neuroscience and scientific computing. While demonstrating technical aptitude, the diversity of projects outside of this specific domain is limited. The single listed experience at Peking University as a 'Data Scientist' is current but lacks details, making it difficult to fully assess alignment with a broader industry data scientist role. The experience level is 0, suggesting a very junior profile despite the 'Data Scientist' title.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Assessing your cultural and operational fit

Projects

pyDANT

April 4, 2025 – Present

Python version of DANT

View Project

DANT

December 12, 2024 – Present

A MATLAB tool for tracking neurons across days

View Project

AutoCurationKilosort

December 4, 2024 – Present

Automated Curation for Kilosort Output

View Project

Kilosort_2_5

February 6, 2024 – Present

My Kilosort

View Project

PhyWaveformPlugin

February 13, 2023 – Present

plugins for removing strange waveforms in phy

View Project

EasyPlot

February 8, 2023 – Present

Easier to make scientific figures with MATLAB

View Project

rateRNN_Mujoco

September 25, 2022 – October 24, 2022

rateRNN_Mujoco — GitHub repository

View Project

NeuronGallery

July 22, 2022 – February 27, 2023

NeuronGallery — GitHub repository

View Project

Yu-Lab

February 17, 2022 – Present

Yu-Lab — GitHub repository

View Project

Miniprogram-PKUBA

August 24, 2021 – Present

用于管理“新生杯”与“北大杯”赛程的小程序

View Project

Key Strengths

Demonstrated proficiency in Python and MATLAB for scientific computing and data analysis.
Experience with Jupyter Notebooks for data exploration and presentation.
Exposure to C++ and CUDA, indicating potential for performance optimization in data-intensive tasks.
Projects like 'pyDANT' and 'rateRNN_Mujoco' align with data science methodologies, particularly in neural data processing and machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Yue Huang

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit