Nastasiya Grinberg
Group Leader Senior ML Specialist at NIAB
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolNastasiya Grinberg is a Group Leader and Senior ML Specialist with 11 years’ experience applying probabilistic and statistical methods to complex biological and agricultural datasets. She builds end-to-end predictive systems—from Boolean-network active learning to hyperspectral deep-learning classifiers—that have reduced lab testing and achieved state-of-the-art disease detection in wheat. A PhD-trained probabilist, she bridges rigorous mathematical modelling with hands-on experimental design (GWAS, field trials) and interpretable analysis for interdisciplinary teams. She also prototypes LLM-driven query tools for scientific data, teaches ML to MPhil students, and consults on healthcare time-series and data access projects, reflecting a rare mix of research, deployment and domain translation. Notably, she has practical experience identifying limits of fine-tuning on small domain datasets and mentoring others to scale ML into real-world biology.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Probability Theory, Doctor of Philosophy (Ph.D.) Probability Theory at University of Warwick
English, Russian, French, German
Stackoverflow
1,503reputation
78kreached
49answers
9questions
Github Skills (37)
maxima10
sequential10
anaconda9
pyqt8
spyder8
ide8
language-server-protocol8
qt7
python-development7
development-environment7
python7
minima7
gsub6
matrix6
dataframe6
Programming languages (3)
Github contributions (5)
stas-g/findPeaks
Sep 2016 - Jul 2019
A simple algorithm to find local maxima/minima in sequential data
Contributions:37 commits, 2 PRs, 34 pushes in 2 years 10 months
sequentialmaximaminimasequential-data
stas-g/LD-landscape-plotting
May 2015 - Aug 2024
Contributions:1 push, 1 branch in 9 years 5 months
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