Kaitlin Frasier
Associate Researcher
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolKaitlin Frasier is an associate researcher and machine learning scientist with over a decade of experience applying signal processing and large-scale sensor analytics to environmental and acoustic problems. She has led multi-institutional, multi-million-dollar research programs at Scripps Institution of Oceanography, built low-power edge sensing platforms, and managed petabyte-scale acoustic archives used for real-time and autonomous monitoring. Known for solving hard problems in messy, unlabeled data, she develops open-source ML classification tools and advances transformer architectures for bioacoustics. Kaitlin combines hands-on technical leadership—mentoring students and redesigning systems—with pragmatic collaboration across government and industry partners. Based in San Diego, she is exploring opportunities to translate her research-driven, data-first approach into applied settings beyond academia.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Honors Biology and International Studies, Summa Cum Laude, Bachelor of Science (B.S.), Honors Biology and International Studies, Summa Cum Laude at Oregon State UniversityDoctor of Philosophy (Ph.D.), Acoustics, Doctor of Philosophy (Ph.D.), Acoustics at UCSD, Scripps Institution of Oceanography
Github Skills (31)
ecology10
classification10
acoustics10
audio-processing10
earth10
detector10
triton10
data-monitoring10
editing10
music10
graphical-user-interface9
machine-learning9
density-estimation9
data-visualization9
monitoring8
Programming languages (3)
Github contributions (5)
MarineBioAcousticsRC/DE_Detector
Aug 2014 - Feb 2019
Odontocete click detector for density estimation
Contributions:1 release, 55 commits, 1 PR in 4 years 7 months
pythondetectordensity-estimationestimationdensity
MarineBioAcousticsRC/ShipNoise
Jul 2019 - Nov 2022
Contributions:13 commits, 12 pushes, 2 branches in 3 years 4 months
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