Sheng Wang
Specialist at Tencent
Thuwal, Makkah Region, United States
Summary
👤
Senior🎓
Top SchoolSheng Wang is a computational biologist and specialist with 11 years’ experience applying machine learning, statistics, and high-performance computing to protein sequence/structure problems and genomic data. He has led research and product-focused projects from academia to industry—developing RaptorX-style structure prediction tools, ultra-deep contact predictors, nanopore base-calling models for ultra-long sequences, and a point-cloud model for ligand binding-site identification at Tencent. His work spans graph-based homology detection, contact-assisted folding, and GPU-parallel algorithms for high-throughput data, bridging deep theoretical methods with production-grade implementations. Based in Thuwal, Sheng combines formal training in biochemistry and molecular biology with strong software and server/database development skills, enabling him to move ideas from prototype to scalable systems. An underappreciated strength is his consistent focus on handling extreme data regimes (ultra-long sequences, class imbalance, and large-scale structure search), which informs both his methodological choices and practical engineering.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.S.), Biotechnology, Bachelor of Science (B.S.), Biotechnology at Shanghai Jiao Tong University
Github Skills (21)
simulate9
auc9
fasta-format9
sequencing8
simulator7
amino7
roc7
sequence7
crf7
curve7
fasta7
prediction6
deep-learning5
machine-learning4
topology4
Programming languages (4)
Github contributions (5)
realbigws/LIG_Tool
Aug 2018 - Nov 2019
Contributions:50 commits, 46 pushes, 1 branch in 1 year 2 months
realbigws/TGT_Package
Apr 2019 - Nov 2020
Generate A3M and TGT file from a given sequence in FASTA format.
Contributions:39 commits, 36 pushes, 1 branch in 1 year 7 months
fasta-formatsequencefastaa3m
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