Minghao Chen
Research Scientist Intern at Meta
Zhejiang, United Kingdom
Summary
👤
Senior🎓
Top SchoolMinghao Chen is a research-focused engineer with nine years of experience specializing in deep learning and computer vision, currently a final-year DPhil student at Oxford's Visual Geometry Group under Prof. Andrea Vedaldi and Dr. Iro Laina. He has held multiple research roles at Meta—working on video generation and 3D part-level generative models across Superintelligence Labs, Reality Lab, and GenAI—and earlier contributed to neural architecture search at Microsoft and research at MIT CSAIL. Minghao blends strong academic training (PhD work spanning Oxford, Stony Brook, and a Columbia MS in Data Science) with hands-on model-building for cutting-edge generative AI. He is comfortable moving ideas from theory to large-scale experimental systems, often at the intersection of 3D vision and generative modeling. A detail that sets him apart is his track record of repeatedly being tapped for short, impact-focused research internships at industry labs, signaling both adaptability and fast ramp-up on high-stakes projects. Based in Zhejiang and the UK, he bridges international research cultures while focusing on next-generation visual generative systems.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Engineering Science, Doctor of Philosophy - PhD Engineering Science at University of OxfordMaster of Science - MS data science, Master of Science - MS data science at Columbia UniversityDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stony Brook University
Github Skills (18)
segmentation10
loss10
adaptation10
semantic-segmentation9
semantic9
pytorch7
deep-learning7
php6
adversarial-learning6
semi-supervised-learning5
python5
agent4
deeplab3
temporal3
chatgpt3
Programming languages (1)
Github contributions (5)
ZJULearning/MaxSquareLoss
Apr 2019 - Dec 2021
Code for "Domain Adaptation for Semantic Segmentation with Maximum Squares Loss" in PyTorch.
Contributions:28 commits, 1 PR, 7 pushes in 2 years 9 months
pytorchmaximumsemantic-segmentationdeep-learningdomain
minghchen/homework
Apr 2017 - Sep 2017
Contributions:29 commits, 15 pushes in 5 months
pythonimitation-learning
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