Angela Dai
Assistant Professor at Technical University of Munich
Germany
Summary
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Rockstar🎓
Top SchoolAngela Dai is an assistant professor at Technical University of Munich with 12 years of experience bridging academic research and practical systems in computer vision and 3D reconstruction. A Stanford PhD and Princeton BSE, she has contributed to seminal open-source projects like VoxelHashing (Siggraph Asia 2013) and ScanNet, implementing depth-sensing, sensor calibration, and feature-generation pipelines that power large-scale real-time 3D reconstruction and object retrieval. Her background spans academia and industry internships at Adobe and DreamWorks, reflecting a rare combination of rigorous research, systems-level back-end development, and applied graphics experience. Known for careful engineering—fixing color-space bugs, improving memory management, and refining algorithms like Marching Cubes—she couples theoretical insight with pragmatic code contributions. Based in Germany, she continues to advance scalable perception systems while mentoring the next generation of researchers.
12 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Stanford UniversityBSE, Computer Science, BSE, Computer Science at Princeton University
Github Skills (19)
pytorch10
c-language10
python10
machine-learning10
lua10
cuda10
computer-vision10
cprogramming-language10
3d-reconstruction10
kinect9
deep-learning8
deeplearning-ai8
computer-graphics8
linear-algebra7
image-processing7
Programming languages (3)
Github contributions (5)
ScanNet/ScanNet
Feb 2017 - Nov 2022
Role in this project:
Back-end Developer
Back-end DeveloperContributions:105 commits, 87 pushes, 13 comments in 5 years 10 months
Contributions summary:Angela primarily focused on developing and modifying Lua scripts for tasks related to object classification and retrieval within the ScanNet project. They worked on training and testing routines, including parameter tuning, model saving, and logging. Additionally, they wrote scripts to generate features from pre-trained models, and contributed to the development of nearest neighbor search functionality using Python.
deep-learningcomputer-graphicscomputer-vision3d-reconstructionrgbd
niessner/VoxelHashing
Jun 2014 - Feb 2017
[Siggraph Asia 2013] Large-Scale, Real-Time 3D Reconstruction
Role in this project:Back-end Developer
Back-end DeveloperContributions:15 commits, 4 pushes in 2 years 8 months
Contributions summary:Angela primarily contributed to the depth sensing functionalities within the repository, likely focused on 3D reconstruction. Their commits involved integrating and modifying sensor libraries like OpenNI and Kinect, along with implementing sensor calibration features. Key contributions include writing and recording trajectory data and fixing color space inconsistencies. They also addressed variable naming typos and added various code improvements related to memory management and the Marching Cubes algorithm.
pytorchreal-timereconstructionsiggraph-asia3d-models
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