Kiri Nichol
Machine Learning Scientist at Small Yellow Duck
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolKiri Nichol is a Machine Learning Scientist with 12 years of R&D experience prototyping ML tools across images, tabular, time-series, and text data, currently consulting through Small Yellow Duck in Vancouver. A Kaggle Competitions Master (rank 78), she combines strong research chops—from a physics PhD and postdoc in medical image analysis—to practical product-facing work including GAN variants, search-ranking models, and fraud/behavior analytics. Her background spans academic instrumentation and rigorous QA for medical imaging to shipping demos and client scripts in Python/PyTorch, reflecting an ability to move ideas from concept to reproducible prototypes. She enjoys tackling problems in unfamiliar domains and mentoring career changers and students, offering practical feedback and data acquisition advice. An understated strength is her habit of turning experimental code into tidy, interactive apps and demos, making complex models accessible to stakeholders.
12 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at McMaster UniversityDoctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Leiden UniversityBachelor of Science (B.Sc.), Physics, English Literature, Bachelor of Science (B.Sc.), Physics, English Literature at The University of British ColumbiaHigh School
English, Dutch
Github Skills (50)
pytorch10
spectrogram10
python10
data-science10
signal-processing10
machine-learning10
audio-processing10
io10
signal10
audio10
deep-learning10
tensorflow10
speech10
jax10
transformation10
Programming languages (3)
Github contributions (5)
small-yellow-duck/encdec
Jul 2018 - Jul 2019
Contributions:8 commits, 11 pushes, 2 branches in 1 year
small-yellow-duck/small-yellow-duck.github.io
Jun 2015 - Aug 2022
Contributions:25 commits, 42 pushes in 7 years 2 months
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