Christian Blakely
AI Research Scientist at CAIR Centre for Artificial Intelligence Research
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolChristian Blakely is a PhD-trained computational scientist and entrepreneur with nine years of industry experience building real-time, interpretable ML systems across finance, pharma, defense, and aviation. Currently co-founding a stealth InsurTech in Zurich, he couples deep scientific computing expertise—from meshless CFD at NASA to sparse neural architectures—with production-grade engineering and product leadership honed at PwC and ALTEN. His work spans end-to-end pipelines: signal extraction, forecasting, portfolio optimization, and anomaly detection, with a knack for visually appealing, efficient solutions. Beyond applied research, he publishes novel methodologies in interpretable machine learning and experiments with AI-generated piano music under the moniker Sihl River Pianist, reflecting a rare blend of technical rigor and creative curiosity.
9 years of coding experience
16 years of employment as a software developer
Bachelor's Degree, Mathematics and Computer Science, 3.72, Bachelor's Degree, Mathematics and Computer Science, 3.72 at Arizona State UniversityEngineer's Degree, Computer Science and Applied Mathematics, Engineer's Degree, Computer Science and Applied Mathematics at Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de GrenobleThe University of Maryland, College Park
English, French, German, Portuguese, Persian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
recurrent8
points7
chart-fx7
forecast6
filter6
rates6
million6
histogram6
real-time-data5
java5
plot5
javafx5
scatter-plot5
machine-learning4
scientific-visualization4
Programming languages (1)
Github contributions (5)
clisztian/JRecurrentMDFA
Sep 2017 - Feb 2018
A Recurrent neural network using the multivariate direct filter approach to learn and forecast signals in nonstationary (multi/uni)variate time series.
Contributions:4 commits, 2 pushes, 1 branch in 4 months
deep-learningapproachmachine-learningforecastrecurrent-neural-network
clisztian/MDFA-DeepLearning
Apr 2018 - Jun 2018
Contributions:25 commits in 2 months
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