db.chen

Data Scientist

https://talent.gravityer.com/dbchen

MacauMember since June 29, 2026

Key Strengths

Strong foundational knowledge in 3D Occupancy Prediction and related computer vision tasks, evidenced by multiple research projects (OccStudio, ALOcc, GDFusion, CausalOcc).
Proficiency in Python, Cuda, C++, and Shell, indicating strong programming capabilities for data science and machine learning.
Experience with advanced machine learning concepts like Zero-Shot Logit Adjustment and neural network implementations.
Demonstrated ability to participate in and achieve success in challenges (SM-Agent: 1st Place Solution for Argoverse 2 Scenario Mining Challenge).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on academic research and competitive challenges, particularly in computer vision and machine learning. This indicates a drive for innovation and problem-solving. However, the projects are predominantly personal/academic, and there is no information on collaborative work environments or team contributions, making a comprehensive cultural fit assessment difficult. The projects align well with a research-heavy Data Scientist role.

Soft Skills & Operational Fit

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

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Projects

OccStudio

December 1, 2025 – Present

A unified framework for 3D Occupancy Prediction

View Project

CausalOcc

July 23, 2025 – July 23, 2025

[ICCV 2025] Semantic Causality-Aware Vision-Based 3D Occupancy Prediction

View Project

Awesome-Medical-LLM-Agent

July 16, 2025 – Present

Reasoning as the Engine: The Evolution from Medical LLMs to Versatile Medical Agents

View Project

SM-Agent

June 17, 2025 – June 18, 2025

SM-Agent: 1st Place Solution for Argoverse 2 Scenario Mining Challenge

View Project

GDFusion

February 27, 2025 – December 1, 2025

[CVPR 2025] Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction

View Project

ALOcc

November 8, 2024 – December 1, 2025

[ICCV 2025] ALOcc: Adaptive Lifting-based 3D Semantic Occupancy and Cost Volume-based Flow Prediction

View Project

IJCAI-2022-ZLA

April 22, 2022 – July 28, 2022

Codes for IJCAI'2022 Paper: Zero-Shot Logit Adjustment

View Project

CFG_to_Greibach_to_NPDA

December 2, 2020 – February 22, 2022

CFG_to_Greibach_to_NPDA — GitHub repository

View Project

implemention-of-neural-network

October 30, 2020 – November 3, 2020

任意规模的神经网络分类器

View Project

Machine-Learning-Exercises-with-Python

October 1, 2020 – December 8, 2020

机器学习课后作业实现

View Project

Key Strengths

Strong foundational knowledge in 3D Occupancy Prediction and related computer vision tasks, evidenced by multiple research projects (OccStudio, ALOcc, GDFusion, CausalOcc).
Proficiency in Python, Cuda, C++, and Shell, indicating strong programming capabilities for data science and machine learning.
Experience with advanced machine learning concepts like Zero-Shot Logit Adjustment and neural network implementations.
Demonstrated ability to participate in and achieve success in challenges (SM-Agent: 1st Place Solution for Argoverse 2 Scenario Mining Challenge).

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 are available.

db.chen

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit