Research Assistant at iPRoBe Lab, Michigan State University
Greater Lansing United States
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Summary
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Melissa Dale is a research-focused software engineer and PhD candidate at Michigan State University with 11 years of experience bridging software engineering and applied machine learning. With an MS in Software Engineering, she previously investigated technical debt and design pattern decay before pivoting to multispectral scene understanding—combining visible, thermal, and radar data to teach deep models richer contextual reasoning (e.g., distinguishing polo from rodeo or racing). At MSU’s iPRoBe Lab she develops and evaluates novel fusion models that seek semantic meaning beyond object detection, applying rigorous software engineering practices from her earlier research and industry internships. Fluent in C-family languages and experienced in production validation tooling, she brings both experimental rigor and pragmatic engineering to interdisciplinary sensing problems.
11 years of coding experience
6 years of employment as a software developer
Masters of Science, Software Engineering, Masters of Science, Software Engineering at Montana State University-Bozeman
Modern Languages, Spanish, Modern Languages, Spanish at Universidad Veritas
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Michigan State University
This kivy app is designed to fuse scores together to improve performance. Evaluation is focused on biometric scores produced by various matchers - however it may be applied to any set of scores.
Contributions:10 PRs, 56 pushes, 10 branches in 3 years 4 months
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Melissa Dale - Research Assistant at iPRoBe Lab, Michigan State University