Kidus Hiwot
Senior Data Scientist
Ann Arbor, Michigan, United States
Summary
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Senior🎓
Top SchoolKidus Hiwot is a Senior Data Scientist at Microsoft with a decade of experience translating statistical research into production AI and ML features across marketing, supply chain, and customer-data platforms. With a PhD in statistics from the University of Michigan, he specializes in time series, panel methods, and causal inference, and has published work on inference for nonlinear, non-Gaussian spatio-temporal epidemiological models. At Microsoft he has led prompt tuning and few-shot example generation for Dynamics 365 Copilot features, improved demand forecasting in supply chain products, and now focuses on latency and quality optimizations for Copilot Studio. He combines rigorous academic training with product-minded experimentation, tracking the long-term relevance of insights as features scale to daily users. Based in Ann Arbor, he brings both teaching experience and an appetite for applying cutting-edge generative AI to simplify real-world workflows.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Statistics, Doctor of Philosophy - PhD Statistics at University of MichiganBachelor of Arts (B.A.) Applied Mathematics, Bachelor of Arts (B.A.) Applied Mathematics at Harvard University
Arabic, Amharic, English
Github Skills (39)
r-package10
statistical-inference10
linear-models10
pls10
stochastic-processes10
state-space10
statistical-models10
statsmodels10
prediction10
markov-model10
markov10
abc9
probabilistic-models9
gmm9
particle-filter9
Programming languages (2)
Github contributions (5)
kidusasfaw/spatPomp
Jul 2018 - Mar 2022
R package for statistical inference of spatiotemporal partially observed Markov processes
Contributions:1 release, 318 commits, 12 PRs in 3 years 9 months
r-packageplsr-programminglinear-modelsinference
kidusasfaw/academic-site
Jul 2020 - Jan 2023
Contributions:37 pushes, 1 branch in 2 years 6 months
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