Chunxiang Li is a Lead Data Scientist based in Helsinki with 13 years of experience bridging software engineering, bioinformatics research, and applied machine learning. He began as a software engineer and bioinformatician, developing a multithreaded Python tool for large-scale sequence alignment and phylogeny inference, and later moved into probabilistic modeling during postgraduate studies at the University of Helsinki. At Nordea and DSV he advanced from data engineer to senior data scientist and now leads data science initiatives, applying production-minded ML and big-data analytics to logistics and finance. His background in high-performance scientific computing and experience running hundred-gigabyte simulations give him an edge in scaling models and pipelines. Pragmatic and research-oriented, he combines academic rigor in privacy-aware probabilistic models with hands-on system design and team leadership. He is particularly effective at turning complex research prototypes into robust, production-ready data products.
13 years of coding experience
14 years of employment as a software developer
Master of Engineering (M.Eng.), Computer Software and Theory, Master of Engineering (M.Eng.), Computer Software and Theory at Xidian University
Postgraduate studies, Machine Learning - Privacy Probabilistic Model, Postgraduate studies, Machine Learning - Privacy Probabilistic Model at University of Helsinki
Master of Science (M.Sc.), Bioinformatics, 5/5 for Major subject, Master of Science (M.Sc.), Bioinformatics, 5/5 for Major subject at Helsingin yliopisto
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