Christian Blakely

Co-Founder at Building InsurTech in Stealth Mode

Zurich, Zurich, Switzerland
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Summary

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Senior
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Christian 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.
code10 years of coding experience
job16 years of employment as a software developer
bookBachelor's Degree, Mathematics and Computer Science, Bachelor's Degree, Mathematics and Computer Science at Arizona State University
bookEngineer's Degree, Computer Science and Applied Mathematics, Engineer's Degree, Computer Science and Applied Mathematics at National School of Computer Science and Applied Mathematics of Grenoble
bookPh.D., Scientific Computing and Applied Mathematics, Ph.D., Scientific Computing and Applied Mathematics at University of Maryland
languagesEnglish, French, German, Portuguese, Persian
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Stackoverflow

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Github Skills (20)

multivariate-timeseries10
java-package10
recurrent-neural-networks7
javafx7
chart-fx7
scientific-visualization6
java6
data-visualisation3
time-series3
charting3
data-visualization2
api2
finance1
financial-data1
financial1

Programming languages (1)

Java

Github contributions (5)

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clisztian/MDFA-DeepLearning

Apr 2018 - Jun 2018

Contributions:25 commits in 2 months
clisztian/MDFA-Toolkit

Mar 2018 - Nov 2019

A JAVA package for real-time signal extraction in large multivariate time series
Contributions:47 commits, 18 pushes in 1 year 9 months
java-packagemultivariate-timeseries
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