Tiance Wang
Associate
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolTiance Wang is an Associate at Goldman Sachs with a decade of experience applying rigorous probabilistic and algorithmic methods to model risk management and machine learning. He holds a Ph.D. in Electrical, Electronics and Communications Engineering from Princeton and a strong undergraduate foundation from HKUST, bringing deep expertise in social choice theory, rank aggregation, and graph-theoretic analysis. His early research internships at Deutsche Telekom explored social networks and delay-tolerant systems, informing practical anti-spam and network resilience insights now applied to financial models. Known for analytical rigor and a quantitative temperament, he blends theoretical research with production-minded risk assessment to solve complex, high-stakes problems.
10 years of coding experience
Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering, Doctor of Philosophy (Ph.D.), Electrical, Electronics and Communications Engineering at Princeton UniversityNon-degree exchange, Electrical Engineering, Non-degree exchange, Electrical Engineering at University of Illinois Urbana-ChampaignHong Kong University of Science and Technology (HKUST)
English, Chinese
Github Skills (117)
text-to-speech10
tensorflow-lite10
speech10
self-supervised-learning10
keyword10
speech-synthesis10
supervised-learning10
visualizer10
speaker10
voice-recognition10
vocoder10
caffe9
whisper9
ctc9
conformer9
Programming languages (6)
Github contributions (5)
wangtiance/icefall
Aug 2022 - Dec 2022
Contributions:23 commits, 92 pushes, 6 branches in 4 months
wangtiance/datasciencecoursera
Jul 2015 - Aug 2015
Contributions:1 push, 1 branch, 1 comment in 1 month
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