Agoston Mihalik
Senior Data Scientist
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolAgoston Mihalik is a Senior Data Scientist based in Cambridge with nearly a decade of experience applying statistical and machine learning methods to biomedical problems, spanning multi-omics, tabular and imaging data. He has progressed from clinical research and a medical degree to a PhD in neuroscience and postdoctoral roles at UCL and Cambridge, bringing rare domain depth to translational drug discovery and precision medicine. At Turbine he has moved from computational scientist to senior data scientist, focusing on models that de-risk target selection and patient stratification. Colleagues know him for blending rigorous academic research with production-minded analytics, and for translating complex biological signals into actionable insights for therapeutic programs.
9 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at University of BirminghamDoctor of Medicine (MD), General medicine, Cum laude, Doctor of Medicine (MD), General medicine, Cum laude at Semmelweis University
English, Italian, German
Github Skills (20)
toolbox9
recurrent-neural-networks9
meta-analysis9
correlation9
reservoir9
partial9
python8
cognitive-science8
least-squares8
connectivity8
echo8
gamma7
machine-learning-algorithms7
bids7
machine-learning6
Programming languages (2)
Github contributions (5)
anaston/cca_pls_toolkit
Feb 2022 - Nov 2022
Canonical Correlation Analysis and Partial Least Squares Toolkit for neuroscientists
Contributions:4 releases, 21 commits, 16 PRs in 8 months
pythonpartialpartial-least-squarescanonical-correlation-analysismachine-learning
anaston/conn2res
Jul 2022 - Jan 2024
reservoir computing toolbox for neuroscientists
Contributions:32 pushes, 38 branches in 1 year 6 months
pythoncognitive-sciencetoolboxmachinelearningneural-networks
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