Hayato Ikoma
Senior Computational Biologist
Pleasanton, California, United States
Summary
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Senior🎓
Top SchoolHayato Ikoma is a Senior Computational Biologist with 10 years of experience at the intersection of computational imaging, machine learning, and optical microscopy, currently driving in‑situ multiomics imaging work at 10x Genomics. He earned a PhD from Stanford where he pioneered end-to-end optimization of imaging systems—designing optical elements with ML and fabricating them for physical demonstration—and taught a virtual reality course for five years. His background spans research roles at MIT Media Lab and ENS Cachan, plus internships at Google where his learning-based photography work contributed to Cinematic Photos. Hayato combines deep optics and algorithmic expertise with production-focused engineering: building memory-efficient, parallel image pipelines and evaluation metrics for large microscopy datasets. He brings a rare blend of cell biology training and hands-on hardware-aware computational design that helps bridge lab experiments and scalable image analysis.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Mathematics / Computer vision / Machine learning, Master of Science - MS Mathematics / Computer vision / Machine learning at Ecole normale supérieure de cachanMaster's degree in Media Arts and Sciences Computational imaging / Optical microscopy, Master's degree in Media Arts and Sciences Computational imaging / Optical microscopy at Massachusetts Institute of TechnologyUniversity of TokyoMaster of Science (M.S.) Cell biology / Optical microscopy, Master of Science (M.S.) Cell biology / Optical microscopy at Kyoto UniversityDoctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Stanford University
English, Japanese
Stackoverflow
31reputation
5kreached
0answers
3questions
Github Skills (112)
threejs10
dct10
python10
image-processing10
deep-learning10
svg10
gpu10
3d10
microscopy10
javascript10
computer-vision10
science10
julia10
webgl10
virtual-reality10
Programming languages (5)
Github contributions (5)
computational-imaging/ThreeDeconv.jl
Jul 2018 - Feb 2022
A convex 3D deconvolution algorithm for low photon count fluorescence imaging
Contributions:32 commits, 1 PR, 28 pushes in 3 years 7 months
deconvolution-microscopyfluorescencedeconvolutionphotonraycasting
vsitzmann/pytorch_prototyping
Jan 2019 - May 2023
Custom pytorch modules with sane default parameters useful for model prototyping. (U-Net, upsampling, downsampling...)
Contributions:2 PRs in 4 years 3 months
pytorchparametersupsamplingprototypingu-net
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