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.
10 years of coding experience
16 years of employment as a software developer
Bachelor's Degree, Mathematics and Computer Science, Bachelor's Degree, Mathematics and Computer Science at Arizona State University
Engineer'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
Ph.D., Scientific Computing and Applied Mathematics, Ph.D., Scientific Computing and Applied Mathematics at University of Maryland
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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