Trent Kyono
Data Science And ML Technical Fellow
Las Vegas, Nevada, United States
Summary
👤
Senior🎓
Top SchoolTrent Kyono is a data science and machine learning technical fellow with eight years of experience building production ML systems across ads ranking at Meta, aerospace imaging and autonomy at Boeing, and current work at Indeed. He holds a PhD from UCLA where his dissertation and multiple NeurIPS papers advanced methods that leverage causal relationships to improve ML robustness and generalization. Trent’s background spans computer vision for space-domain awareness and medical imaging, combining research rigor with hands-on engineering to deploy models in safety-critical and high-throughput environments. Based in Las Vegas, he blends principal-engineer practicality with technical leadership, favoring solutions that connect causal insights to scalable, real-world systems.
8 years of coding experience
12 years of employment as a software developer
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Pepperdine UniversityDoctor of Philosophy - PhD and MS, Computer Science, Doctor of Philosophy - PhD and MS, Computer Science at University of California, Los AngelesProgramming languages (1)
Github contributions (5)
trentkyono/trentkyono.github.io
Jan 2020 - Oct 2022
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:23 pushes in 2 years 10 months
templategithub-pages-templatemmistakesmistakesjekyll
trentkyono/MIRACLE
May 2021 - Oct 2021
Contributions:6 commits, 1 PR, 3 pushes in 4 months
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