Tyler Tomita
Postdoctoral Fellow at The Johns Hopkins University
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolTyler Tomita is a postdoctoral fellow at Johns Hopkins with 11 years of experience applying and advancing machine learning for biomedical and cognitive science problems. Trained with a PhD in Biomedical Engineering, he developed novel decision-forest algorithms and automated clinical pipelines for cancer classification during collaborations with physicians and biomedical scientists. His current research focuses on building robust, human-like transfer, continual, and representation learning systems informed by behavioral experiments he runs to probe cognition. Tyler bridges experimental neuroscience and algorithm design, bringing lab-measured insights into practical ML architectures. He combines deep technical rigor with real-world biomedical impact, and is driven by a conviction that understanding natural intelligence is key to safer, more adaptable AI.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Biomedical Engineering, Doctor of Philosophy - PhD, Biomedical Engineering at The Johns Hopkins University School of MedicineBS, Biomedical Engineering and Biological Systems Engineering, BS, Biomedical Engineering and Biological Systems Engineering at University of California, Davis
English
Github Skills (45)
sparse10
projection10
classification10
nearest-neighbors10
r10
cpp10
random-forest10
python9
mechanical-turk9
deep-learning8
audio8
flux8
gpu8
machine-learning8
amazon7
Programming languages (5)
Github contributions (5)
tyler-tomita/RandomerForest
Nov 2014 - Nov 2019
Contributions:1058 commits, 709 pushes, 4 branches in 5 years 1 month
HLab/AutobioMemorySimilarity
Dec 2020 - Feb 2022
Contributions:20 commits, 20 pushes in 1 year 2 months
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