Changwoon Choi

Data Scientist

https://talent.gravityer.com/changwoon-choi

Ph.D. Student @ SNU 3D Vision Lab

SeoulMember since June 29, 2026

Key Strengths

Extensive experience in Python for research and development, particularly in computer vision and 3D graphics.
Strong background in academic research, evidenced by multiple official implementations of SIGGRAPH, CVPR, and ICCV papers.
Proficiency in deep learning and machine learning frameworks, as indicated by project names like 'dl2020' and 'ml2020'.
Demonstrated ability to work with C++ and CUDA for performance-critical applications in graphics.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily skewed towards academic research in computer graphics and deep learning, which aligns with a research-heavy Data Scientist role. However, the lack of diverse project types (e.g., business intelligence, A/B testing, production deployment) suggests a potentially narrow focus for a general Data Scientist position. The absence of team-based projects or collaborative descriptions makes it difficult to assess cultural fit beyond individual technical contributions.

Soft Skills & Operational Fit

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

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Projects

GeoStyle

February 22, 2026 – Present

Official implementation of Image-Guided Geometric Stylization of 3D Meshes (CVPR 26')

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HCP

November 27, 2024 – October 21, 2025

Official implementation of Humans as Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos (ICCV 25')

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3Doodle

May 1, 2024 – August 25, 2024

Official implementation of 3Doodle: Compact Abstraction of Objects with 3D Strokes (SIGGRAPH 24', Journal track)

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suggestive_contours

January 9, 2024 – November 11, 2024

Modified version of suggestive contour rendering from https://gfx.cs.princeton.edu/proj/sugcon/

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EgoNeRF

March 8, 2023 – June 6, 2023

Official implementation of Balanced Spherical Grid for Egocentric View Synthesis (CVPR 23')

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homepage3d

March 5, 2023 – Present

homepage3d — GitHub repository

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IBL-NeRF

December 14, 2022 – September 12, 2023

Official implementation of IBL-NeRF: Image-Based Lighting Formulation of Neural Radiance Fields (Computer Graphics Forum, Pacific Graphics 2023)

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dl2020

September 16, 2020 – October 14, 2021

dl2020 — GitHub repository

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ml2020

September 6, 2020 – February 19, 2021

Project page for 'The Methodology for Stereo Image Learning Representation'. (Machine Listening 2020 Fall)

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mlfinal

June 20, 2020 – December 14, 2020

2020 Spring Machine Learning Final Project

View Project

Key Strengths

Extensive experience in Python for research and development, particularly in computer vision and 3D graphics.
Strong background in academic research, evidenced by multiple official implementations of SIGGRAPH, CVPR, and ICCV papers.
Proficiency in deep learning and machine learning frameworks, as indicated by project names like 'dl2020' and 'ml2020'.
Demonstrated ability to work with C++ and CUDA for performance-critical applications in graphics.

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 contributions.

Changwoon Choi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit