Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Hi, I'm Xiaochuan Ma. I have solid experience in AI-supported data analysis, computer vision, and robotics projects. I'm proficient in Python and MATLAB and enjoy working independently in both research and engineering environments. Currently, I'm completing my master's thesis at the Technical University of Munich, where I'm developing innovative systems for humanoid motion control. Alongside my studies, I work part-time on developing neural networks and data analysis systems for CFD simulations, using state-of-the-art machine learning techniques. I love tackling challenging problems, learning new technologies, and applying my skills to real-world applications. In my free time, I enjoy cars, travel, photography, and staying active with cycling and swimming.…Hi, I'm Xiaochuan Ma. I have solid experience in AI-supported data analysis, computer vision, and robotics projects. I'm proficient in Python and MATLAB and enjoy working independently in both research and engineering environments. Currently, I'm completing my master's thesis at the Technical University of Munich, where I'm developing innovative systems for humanoid motion control. Alongside my studies, I work part-time on developing neural networks and data analysis systems for CFD simulations, using state-of-the-art machine learning techniques. I love tackling challenging problems, learning new technologies, and applying my skills to real-world applications. In my free time, I enjoy cars, travel, photography, and staying active with cycling and swimming.

Xiaochuan Ma

AI Engineer, Data Scientist, Developer, +3





Hi, I'm Xiaochuan Ma. I have solid experience in AI-supported data analysis, computer vision, and robotics projects. I'm proficient in Python and MATLAB and enjoy working independently in both research and engineering environments. Currently, I'm completing my master's thesis at the Technical University of Munich, where I'm developing innovative systems for humanoid motion control. Alongside my studies, I work part-time on developing neural networks and data analysis systems for CFD simulations, using state-of-the-art machine learning techniques. I love tackling challenging problems, learning new technologies, and applying my skills to real-world applications. In my free time, I enjoy cars, travel, photography, and staying active with cycling and swimming.…Hi, I'm Xiaochuan Ma. I have solid experience in AI-supported data analysis, computer vision, and robotics projects. I'm proficient in Python and MATLAB and enjoy working independently in both research and engineering environments. Currently, I'm completing my master's thesis at the Technical University of Munich, where I'm developing innovative systems for humanoid motion control. Alongside my studies, I work part-time on developing neural networks and data analysis systems for CFD simulations, using state-of-the-art machine learning techniques. I love tackling challenging problems, learning new technologies, and applying my skills to real-world applications. In my free time, I enjoy cars, travel, photography, and staying active with cycling and swimming.

Available to hire

Hi, I’m Xiaochuan Ma. I have solid experience in AI-supported data analysis, computer vision, and robotics projects. I’m proficient in Python and MATLAB and enjoy working independently in both research and engineering environments. Currently, I’m completing my master’s thesis at the Technical University of Munich, where I’m developing innovative systems for humanoid motion control.

Alongside my studies, I work part-time on developing neural networks and data analysis systems for CFD simulations, using state-of-the-art machine learning techniques. I love tackling challenging problems, learning new technologies, and applying my skills to real-world applications. In my free time, I enjoy cars, travel, photography, and staying active with cycling and swimming.

Skills

Experience Level

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

German

Advanced

English

Advanced

Chinese

Fluent

Work Experience

Master Thesis at ATARI Lab TUM

November 1, 2024 - Present

Conducted research on using videos of human motion to control humanoid loco manipulation. Built a video-sim-real system architecture, developed custom human-humanoid motion mapping functions with sampling-based control method. Achieved performance 50x faster than modern RL algorithms with state-of-the-art results.

Working Student at CFD Schuck

May 1, 2023 - Present

Developed generative geometrical neural network to enhance CFD simulation performance and an automatic data analysis system for CFD data preprocessing. Involved in web GUI backend development using Django and created a local VLM serving system for everyday development.

Research Internship at Fortiss GmbH

September 30, 2024 - July 23, 2025

Developed fine-grained visual classification models for sports data using self-supervised learning methods. Built custom datasets, cost functions, and evaluation algorithms reaching over 97% accuracy for binary image classification tasks.

Working Student at Müller BBM

April 30, 2023 - July 23, 2025

Supported test projects for televisions and smartphones.

Internship at Huawei

October 31, 2021 - July 23, 2025

Worked in project and product management. Conducted technical testing of final product prototypes, beta firmware, and apps, preparing them for market launch.

Master Thesis at ATARI Lab TUM

November 1, 2024 - Present

Built a video-sim-real system architecture with custom human-humanoid motion mapping using a sampling-based control method. Achieved performance 50x faster than modern reinforcement learning algorithms with state-of-the-art results.

Working Student at CFD Schuck

May 1, 2023 - Present

Developed generative geometrical neural networks to improve performance in CFD simulation. Created an automatic data analysis system for CFD data preprocessing and developed backend for web GUI using Django. Implemented a local VLM serving system to support daily development.

Research Internship at Fortiss GmbH

September 30, 2024 - July 23, 2025

Developed fine-grained visual classification for sports data using self-supervised learning methods. Built custom datasets, cost functions, and evaluation algorithms, achieving over 97% accuracy for binary image classification.

Working Student at Müller BBM

April 30, 2023 - July 23, 2025

Supported test projects for televisions and smartphones.

Internship at Huawei

October 31, 2021 - July 23, 2025

Engaged in project and product management tasks including technical testing of final product prototypes, beta firmware and apps, preparing for market launch.