Shion Hosoda

Senior Data Scientist At KPMG Advisory Holdings

Chiyoda, Japan
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Summary

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Senior
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Top School
Shion Hosoda is a Senior Data Scientist with nine years of experience combining academic bioinformatics research and industry analytics, currently applying Bayesian and mathematical optimization methods to public finance at KPMG. He holds a Ph.D. in Biomathematics/Bioinformatics from Waseda University and continues as an adjunct researcher there, blending deep probabilistic modeling with machine learning in both microbiome and commercial datasets. His technical toolkit spans hierarchical Bayesian models, state-space and HMMs, variational inference and MCMC, as well as modern ML like fine-tuned LLMs and normalizing flows, implemented in C++, Python, Stan, TensorFlow and PyTorch. Past projects include time-series microbiome dynamics, sales forecasting, and LLM-based protein sequence prediction, revealing a knack for extracting hidden latent structure across domains. Not obvious from job titles: he routinely designs bespoke hierarchical Bayesian models and simulation-based inference pipelines to answer domain-specific hypotheses rather than relying on off-the-shelf techniques. Comfortable moving models from research into production, he bridges rigorous statistical theory with pragmatic data engineering in cross-disciplinary teams.
code9 years of coding experience
job6 years of employment as a software developer
bookDoctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at Waseda University
languagesJapanese, English

Github contributions (5)

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shion-h/TopicModels

Feb 2017 - Nov 2020

Contributions:79 commits, 58 pushes, 2 branches in 3 years 9 months
Contributions:4 pushes, 1 branch in 3 years 1 month
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