Janelle Blankenburg is a lead data scientist and engineer with a decade of experience applying machine learning to real-world systems, currently building anomaly detection and fault-identification models for industrial machinery at Bently Nevada. She holds a Ph.D. in Computer Science and Engineering from the University of Nevada, Reno, where her research produced a generalized task-learning and allocation framework enabling safe, collaborative human–robot and multi-robot manipulation. Janelle combines strong distributed data infrastructure leadership with hands-on research skills, having led development of production data pipelines and end-to-end analytic clusters for diagnostics. Her background spans UAV autonomy, reinforcement learning, and teaching graduate AI and ML courses, reflecting both deep theoretical grounding and practical implementation. She is particularly interested in translating her robotics task-allocation and recovery work into industrial settings to improve human–robot collaboration in diverse environments.
10 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Applied Mathematics, Magna Cum Laude; GPA 3.961, Bachelor of Science - BS, Applied Mathematics, Magna Cum Laude; GPA 3.961 at University of Nevada, Reno
Contributions:12 pushes, 1 branch in 2 years 9 months
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Janelle Blankenburg - Lead Data Scientist Engineer