Christian D. Blakely Email & Phone Number

Zürich, Zh, Ch

Zürich Area, Switzerland

Lead and engineer scientific computing and interpretable machine learning productionization solutions in several industries around Switzerland, most notably in pharma, air defence, military, aviation, automotive, bioinformatics, and finance.

Zürich Area, Switzerland

Work and develop with state-of-the-art tools in machine and deep learning to build real-time big data analysis applications in computer vision, Bayesian networks, and high dimensional time-series.

Zürich Area, Switzerland

Developed real-time distributed financial tracking and trading system in Java, C, Scala, R, and Apache Spark along with several new open-source technologies.Connected the trading system to brokers at competitive speeds and built risk analytics tools for tracking portfolio allocations over-time.Assessed risk through new proprietary metrics based on higher statistical moments of the financial return distributions.Supervised the signal extraction methodology development used in trading for over a year and assisted in building software testing framework.

Suitland, Md

Engineered and developed iMetrica, a software written in Java, C, and MySQL, for predictive analysis, signal extraction, automatic model selection and much more in multivariate time series data.Worked with full stack data science pipelines to mine, clean, upload to database, extract features, and predict regional dynamics in small-area estimation using modern data science tools in R and Python.Built a webscraping tool in Python to automatically mine, extract, and assemble food/commodity prices into large structured database from local grocery stores from around the country.

Greenbelt, Md

Designed and maintained computing cluster for massive parallel computing architectures. Developed a novel computational approach for computing and simulation fluid flow using arbitrary points, entitled meshless methods.Wrote software in C and Fortran for simulating highly complex fluid flow in shallow space and simulated over 100s of GB of fluid flow from data recorded by NCAR (National Center for Atmospheric Research). Compared new computational approach with other benchmarks. Published new methodology in peer reviewed computational science journalsCollaborated as a researcher and programmer on several fusion projects between NASA and the Earth Systems Science Center at the University of Maryland.

Ph.D., Scientific Computing And Applied Mathematics, 4.0

Master'S Degree, Scientific Computing, 4.0

Bachelor'S Degree, Mathematics And Computer Science, 3.72

Engineer'S Degree, Computer Science And Applied Mathematics