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EPFL
Data Scientist
June 19, 2026 – Present
chez-tozhang.github.io
December 2, 2024 – April 15, 2025
chez-tozhang.github.io — GitHub repository
View ProjectDVMNet
March 18, 2024 – June 16, 2024
PyTorch implementation of "DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses" (CVPR 2024)
View ProjectOESSL
March 13, 2024 – September 17, 2024
Code for **Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange** (OESSL) CVPR2024
View Project3DAHV
January 18, 2024 – November 5, 2024
Office implementation of "3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation", ICLR 2024
View ProjectSTSSL
March 18, 2023 – March 4, 2024
Code for **Spatiotemporal Self-supervised Learning for Point Clouds in the Wild** (STSSL) CVPR2023
View ProjectCultural Fit Analysis
The candidate's projects are predominantly academic/research-oriented, focusing on cutting-edge computer vision and self-supervised learning. This indicates a strong fit for research-heavy or innovation-driven environments. However, the lack of diverse project types (e.g., business intelligence, A/B testing, product analytics) might suggest a narrower scope of experience for a general Data Scientist role. The single listed current experience as 'Data Scientist' at EPFL aligns with the target role, but without further details, it's hard to fully assess cultural fit beyond a research context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but do not provide insight into collaboration, problem-solving approach, or communication style beyond technical output.