Eduardo Hirata-Miyasaki
Senior AI/ML Engineer @ Biohub
About
I am an R&D engineer specializing in deep learning for biomedical imaging, with a focus on virtual staining, representation learning, and smart microscopy of dynamic biological systems. I develop and integrate computer vision algorithms with advanced imaging systems to enable real-time analysis and experimental perturbation in living model organisms, such as zebrafish. I also work on representation learning for cellular phenotyping, designing models that extract compact, biologically meaningful embeddings from high-dimensional single-cell imaging data to characterize cellular dynamics under perturbation.
United States
San Francisco Bay Area
Biotechnology
High Performance Computing (HPC), Predictive Modeling, PyTorch, Deep Learning, CAD/CAM, Python (Programming Language), Python, Microscopy and Optics, C, Image Processing, Electronic Circuit Design, C++, Public Speaking, Optics, Leadership, Research, Spanish-English, Java, LaTeX, Social Skills
Experience

Senior AI/ML Engineer
San Francisco, California, United States
- Developed robust virtual staining model for microscopy data. The models virtually stain landmark organelles like nuclei and cytoplasm enabling fast dynamic imaging and single-cell analysis. - Developed representation learning models that recapitulate infection dynamics from 5D multichannel volumetric timelapse microscopy datasets.

Research And Development Engineer
San Francisco, California, United States
- Build computational imaging tools for fast 3D imaging of cells and organisms. - Developed a photomanipulation system for single-cell perturbation. - Developed high-throughput imaging systems - Developed deep-learning models for virtual staining and single-cell phenotyping

Graduate Student Researcher
Santa Cruz, CA
“Deep and Fast High Resolution 3D Microscopy” - Advisor: Dr. Sara Abrahamsson •Research in multifocal and super-resolution microscopy for biological imaging. •Simulataneous imaging of 160volumes per second •Applications for neuronal imaging of small organisms. •Developed acquisition pipeline and analysis of datasets C++ and Python •Nanofabricated customized diffractive optics

Research Assistant
Santa Cruz, California Area
Nanoengineering Group • Developed prototype for a point-of-care device by miniaturizing key components such as microfluidic pumping system and high frequency and voltage function generator. • Automated microfluidic pumping system to allow researchers to functionalize the surface of the chip with no pulsations for 1-10ul/min flows.

Technical Assistant II S-Lab
UCSC S-Lab • Design and development of in-situ and in-vivo plant carbon uptake sensing system. Contraption design measures CO2, temperature, humidity, and light intensity, and is capable of sense remotely utilizing SD card and adaptable for other transferring methods.

Undergraduate Research Assistant
University of California, Santa Cruz
Functional Materials and Opto-Electronics Lab. Papers: • Photo-Gated Intervalence Charge Transfer of Ethynylferrocene Functionalized Titanium Dioxide Nanoparticles http://chen.chemistry.ucsc.edu/TiO2-eFc.pdf Poster Presentation: • UCSC Summer Undergraduate Research Symposium 2016
Education

Electrical and Electronics Engineering
Dissertation: “Deep and Fast High-Resolution 3D Microscopy” Advisor: Dr. Sara Abrahamsson Research in multifocal and super-resolution microscopy for biological imaging. M25 enables live 3D volumes fast and simultaneously by capturing 25 focal planes with a diffraction-limit resolution of up to 100 volumes per second.
Eduardo Hirata-Miyasaki's Contact Information
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