Zhendong Wang
Postdoctoral Researcher at KTH Royal Institute of Technology
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolZhendong Wang is a postdoctoral researcher at KTH Royal Institute of Technology with nine years of experience at the intersection of data science, machine learning, and engineering. He holds a PhD from Stockholm University and has a strong publication record across conferences and journals, including recent papers at DS Conference 2025 and ERS Congress 2025. His background spans both research—awarded Best Student Paper at AIME 2021 and guest lecturing—and industry, where he built semantic search and ML pipelines at Stravito using TensorFlow, ElasticSearch, and AWS. He also has hands-on experience in data engineering, productionizing models, and supervising multiple MSc and BSc theses. Comfortable switching between exploratory research and production systems, he brings an analytical statistics foundation from Linköping and Tangshan Normal University to applied NLP and search problems. Colleagues describe him as a pragmatic researcher who translates academic insights into measurable product improvements.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.Sc.), Statistics, Bachelor of Science (B.Sc.), Statistics at Tangshan Normal UniversityMaster’s Degree, Statistics and Data Mining, Master’s Degree, Statistics and Data Mining at Linköping UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Stockholm University
Github Skills (6)
representations8
variational-autoencoder8
style-transfer8
natural-language-generation6
pytorch5
time-series3
Programming languages (2)
Github contributions (5)
zhendong3wang/learning-time-series-counterfactuals
Jun 2021 - Jan 2023
LatentCF++: Learning Time Series Counterfactuals via Latent Space Representations
Contributions:23 commits, 2 PRs, 24 pushes in 1 year 7 months
pytorchcounterfactualsrepresentationslatent-spacelatent
zhendong3wang/delete_retrieve_generate
Oct 2020 - Dec 2020
PyTorch implementation of the Delete, Retrieve Generate style transfer algorithm
Contributions:2 PRs, 12 pushes, 1 branch in 2 months
pytorchstyle-transferpytorch-implementationretrieve
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