Julian Blank
Senior Applied Scientist at Amazon
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJulian Blank is a Senior Applied Scientist in Seattle with 11 years of experience blending optimization, machine learning, and causal inference to solve large-scale business problems. He is the founder and lead developer of pymoo, a widely used open-source multi-objective optimization toolkit relied on by hundreds of researchers, and has deep hands-on expertise reengineering core evolutionary algorithms. At Amazon he has built scalable causal frameworks and LLM-driven economic reporting that cut analysis time by 80% and directly influenced leadership decisions on pricing, regionalization, and product optimization. With a PhD in Computer Software Engineering and a track record of translating academic research into production systems, he excels at balancing deep technical dives with strategic impact. An unusual strength is his fluency in both algorithm design (e.g., NSGA, CMA-ES) and cloud-native deployment, enabling end-to-end delivery from research prototypes to serverless evaluation pipelines.
11 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, 1.0 (with distinction), Master of Science (M.Sc.), Computer Science, 1.0 (with distinction) at Otto-von-Guericke University MagdeburgBachelor of Science (B.Sc.), Information Technology, 1.3, Bachelor of Science (B.Sc.), Information Technology, 1.3 at Otto-von-Guericke-Universität MagdeburgDoctor of Philosophy - PhD, Computer Software Engineering, 4.0, Doctor of Philosophy - PhD, Computer Software Engineering, 4.0 at Michigan State University
German, English, Latin, Greek, Spanish
Github Skills (5)
algorithm10
algorithms10
genetic-algorithm10
python10
multi-objective-optimization10
Programming languages (9)
Github contributions (5)
anyoptimization/pymoo
Sep 2017 - Jan 2023
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 releases, 350 commits, 81 PRs in 5 years 4 months
Contributions summary:Julian primarily focused on reengineering code within the project, specifically targeting the `pymoo/algorithms/genetic_algorithm.py` file. The changes involved modifying and restructuring code within the genetic algorithm, including algorithms, crossover, and mutation implementation, suggesting a focus on the underlying algorithm design and logic. The user's work touches upon core components related to multi-objective optimization such as genetic algorithms and survival selection, suggesting expertise in the project's core domain.
evolutionheuristicsgenetic-algorithmsnmfdifferential
blankjul/pymoo
Dec 2017 - Apr 2020
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMA-ES
Contributions:131 commits in 2 years 4 months
evolutiongeneticnsga2genetic-algorithmsmoead
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