Andre Ehrlich is a PhD candidate in Statistics based in Athens with a decade of experience at the intersection of applied machine learning, statistical modeling, and software engineering. He has led teams building production NLP and time-series forecasting systems for maritime markets, scaling real-time inference to industrial volumes and delivering client-facing products for tier‑1 firms. His doctoral work applies Gaussian Process and Neural Diffusion Process methods to age-stratified epidemic models, uniquely integrating viral load PCR surveillance into large-scale infectious disease analysis. Comfortable moving between research and product, he has a track record of shipping reproducible pipelines on cloud infrastructure and turning complex biomedical and operational data into actionable models. Skilled in Python, R, C++, and modern deployment tooling, he combines rigorous causal and stochastic thinking with hands-on engineering to bridge academia and industry.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Athens University of Economics and Business
BSc - Bachelor of Science - McCormick School of Engineering, Computer Science, BSc - Bachelor of Science - McCormick School of Engineering, Computer Science at Northwestern University
Contributions:14 pushes, 1 branch in 3 years 3 months
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