Joshua Mendoza is a data scientist and engineering team lead at Pacific Northwest National Laboratory with a decade of hands-on experience building algorithms and software for bioinformatics and computational neuroscience. A University of Washington graduate with honors in Computational and Applied Mathematics, he blends academic rigor—evidenced by undergraduate research on network dynamics and a postbaccalaureate fellowship in neuroengineering—with production-focused development of tools like MSPathFinder. His interests span stochastic processes, networks, computer vision (particularly distortion correction and image reconstruction), and optimization, allowing him to bridge theoretical modeling and practical implementation. Known for running large-scale simulations on clusters and translating complex findings into publishable work, he brings both technical depth and an aptitude for mentoring teams.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.) with Honors, Computational and Applied Mathematics, Bachelor of Science (B.S.) with Honors, Computational and Applied Mathematics at University of Washington
Associate of Arts and Sciences (A.A.S.) with Honors, Associate of Arts and Sciences (A.A.S.) with Honors at Columbia Basin College
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Joshua Mendoza - Data Scientist Engineer And Team Lead