Jacob Ayers
PHD Student at ETH Zürich
San Diego, California, United States
Summary
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Senior🎓
Top SchoolJacob Ayers is a PhD student at ETH Zürich specializing in neuroinformatics and machine learning, building on eight years of engineering experience across academia and industry. He holds MEng and BS degrees from UC San Diego and has led interdisciplinary research projects, including deploying audio-based species identification for conservation in collaboration with the San Diego Zoo. Jacob pairs hands-on systems skills—from SSD manufacturing and automation scripting to teaching large undergraduate cohorts—with applied research at the intersection of data science and neuroscience. His background in filmmaking, travel, and social science informs a human-centered approach to technical problems, enabling clear communication and empathetic leadership in diverse teams.
8 years of coding experience
11 years of employment as a software developer
University of California, San DiegoAssociate's degree, ENGINEERING, Associate's degree, ENGINEERING at Santa Barbara City CollegeHigh School Diploma, High School Diploma at Corona Del Mar High School
Github Skills (76)
template-matching10
python10
sed10
gpu10
audio10
sound-processing10
numpy9
neural-network9
object-detection9
deep-learning9
scientific-computing9
algorithms9
machine-learning9
scipy9
pipeline8
Programming languages (6)
Github contributions (5)
UCSD-E4E/AID_NeurIPS_2021
Oct 2021 - Apr 2024
Small repository dedicated to the reproducability of the Engineers for Exploration's Automated Acoustic Species Identification's results for their publication in the Workshop on Tackling Climate Change with Machine Learning at NeurIPS 2021
Contributions:2 PRs, 15 pushes, 1 branch in 2 years 6 months
UCSD-E4E/PyHa
Jan 2021 - Jan 2023
A repo designed to convert audio-based "weak" labels to "strong" intraclip labels. Provides a pipeline to compare automated moment-to-moment labels to human labels. Methods range from DSP based foreground-background separation, cross-correlation based template matching, as well as bird presence sound event detection deep learning models!
Contributions:16 reviews, 156 commits, 106 PRs in 1 year 11 months
pythonnatural-language-processingbirdsongpipelineobject-detection
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