Tao Wang
Eric And Wendy Schmidt AI In Science Fellow at National University of Singapore
Singapore
Summary
👤
Senior🎓
Top SchoolTao Wang is an Eric and Wendy Schmidt AI in Science Fellow and Assistant Professor based in Singapore, combining a PhD in Built Environment from NUS with multidisciplinary training in smart buildings and civil engineering from UCL and Bath. With a decade of experience spanning academic research, industry digital design roles, and a visiting scholar stint at MIT, he focuses on applying AI and computational methods to built-environment challenges. He has moved between practice and research—doing digital building analysis in industry and translating those insights into publishable, impact-driven research at leading institutions. Colleagues know him as a pragmatic problem-solver who “makes things work,” reflecting a hands-on approach from structural internships to advanced modelling. Tao’s profile blends rigorous technical depth with practical delivery, often bridging data-driven methods and real-world construction workflows.
10 years of coding experience
2 years of employment as a software developer
MSc Smart Building and Digital Engineering, Architectural and Building Sciences/Technology, MSc Smart Building and Digital Engineering, Architectural and Building Sciences/Technology at The Bartlett School of Architecture, UCLBachelor of Engineering - BEng, Civil Engineering with Yearlong work placement, Bachelor of Engineering - BEng, Civil Engineering with Yearlong work placement at University of BathDoctor of Philosophy - PhD, Built Environment, Doctor of Philosophy - PhD, Built Environment at National University of Singapore
Chinese, English
Github Skills (200)
benchmark10
python10
toolbox10
deep-learning10
instance-segmentation10
gpu10
vision-transformer10
faster-rcnn10
tflite10
gpu-acceleration10
glip10
yolov510
openmmlab10
acceleration10
multibox10
Programming languages (9)
Github contributions (5)
twangnh/Distilling-Object-Detectors
Jun 2019 - Jul 2021
Implementations of CVPR 2019 paper Distilling Object Detectors with Fine-grained Feature Imitation
Contributions:32 commits, 64 pushes, 1 branch in 2 years 1 month
pytorchimplementationsdistillingdeep-learningfine-grained
twangnh/CRAT
Jan 2023 - Dec 2024
Contributions:14 pushes, 3 branches in 1 year 11 months
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