Olee Lam
Graduate Research Assistant
Madison, Wisconsin, United States
Summary
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Senior🎓
Top SchoolOlee Lam is an interdisciplinary researcher and PhD candidate at UW–Madison with eight years of experience applying computational remote sensing, radar signal processing, and ecological data science to real-world problems. Currently a Graduate Research Assistant, Olee has a strong track record in open-source tool development—publishing the rtry R package on CRAN while at the Max Planck Institute—to streamline plant trait data preprocessing for the biogeography community. His background spans radar hardware and signal analysis (including micro-Doppler work and FMCW radar vibration compensation) through to large-scale remote sensing and forestry applications, bridging engineering and ecological domains. Comfortable with FPGA, Python and R workflows, he combines hands-on instrumentation experience from industry internships with rigorous academic research. Based in Madison, Wisconsin, he brings a pragmatic, reproducible approach to interdisciplinary problems and a habit of shipping research software that others can immediately use.
9 years of coding experience
4 years of employment as a software developer
PhD, Forestry, PhD, Forestry at University of Wisconsin-MadisonBachelor of Commerce (B.Com.), Law and Business, Bachelor of Commerce (B.Com.), Law and Business at Hong Kong Shue Yan UniversityMaster’s Degree, Information Engineering and Computer Science, Master’s Degree, Information Engineering and Computer Science at Rhine-Waal University
English, Chinese, ChineseGithub contributions (5)
MPI-BGC-Functional-Biogeography/rtry
Feb 2021 - Mar 2022
Contributions:2 releases, 340 commits, 31 pushes in 1 year 1 month
oleelamhy/CNNVisTool
Dec 2019 - Dec 2019
Contributions:7 commits in 8 days
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