Zhizheng Liu

Data Scientist

https://talent.gravityer.com/zhizheng-liu

Doing Well by Doing Good

University of California

Key Strengths

Extensive experience with Python for data science and machine learning projects.
Strong background in computer vision, 4D scene understanding, and human-scene reconstruction.
Demonstrated ability to contribute to research-oriented projects, including ICLR and CVPR publications.
Proficiency in C++ and GLSL for performance-critical applications and simulations.
Experience with Jupyter Notebooks for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily focused on academic research and personal projects, indicating a strong drive for innovation and problem-solving. However, the lack of diverse industry experience or team-based project descriptions makes it difficult to fully assess cultural fit for a typical corporate data scientist role. The current role as 'Data Scientist' at a university aligns with research, but details on collaboration and impact are missing.

Soft Skills & Operational Fit

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

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Projects

CS163-Assignments-2025Fall

September 15, 2025 – November 25, 2025

CS163-Assignments-2025Fall — GitHub repository

View Project

VAIL-UCLA.github.io

April 8, 2025 – Present

VAIL-UCLA.github.io — GitHub repository

View Project

JOSH

December 5, 2024 – Present

[ICLR 2026] Official Implementation for Paper "Joint Optimization for 4D Human-Scene Reconstruction in the Wild"

View Project

PedGen

October 2, 2024 – December 23, 2025

[ICLR 2025] Dataset and Code for Paper "Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels"

View Project

COOLer

October 4, 2023 – January 26, 2024

[GCPR'23 Oral] COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking

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MetaVQA

August 14, 2023 – August 1, 2025

MetaVQA — GitHub repository

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sharp2022

September 7, 2022 – October 12, 2022

Solution for Team Rayee, ranks 1st place in reconstructing partial textured objects (track 2), and 2nd overall in the SHARP Challenge at CVPR 2022

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metadrive

August 28, 2021 – August 15, 2025

MetaDrive: Lightweight driving simulator for everyone

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vis4d

February 17, 2021 – September 5, 2025

A modular library for visual 4D scene understanding

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genforce.github.io

March 10, 2020 – October 13, 2025

Homepage.

View Project

Key Strengths

Extensive experience with Python for data science and machine learning projects.
Strong background in computer vision, 4D scene understanding, and human-scene reconstruction.
Demonstrated ability to contribute to research-oriented projects, including ICLR and CVPR publications.
Proficiency in C++ and GLSL for performance-critical applications and simulations.
Experience with Jupyter Notebooks for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Zhizheng Liu

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit