BIO
I am a Core Bioinformatics Scientist II at the Van Andel Institute, where I build software to extract meaningful data from complex biological images. Within the Optical Imaging Core, my work focuses on developing tools to analyze and visualize massive, multi-dimensional microscopy datasets.
My research sits at the intersection of biology and computation. I utilize advanced microscopy to capture the dynamics of living cells over extended periods, while simultaneously building the software needed to process these phenomena. Together with VAI collaborators, I apply these methods to better understand the mechanisms of human diseases, with a primary focus on cancer and Parkinson’s disease. I am currently focused on the frontier of image informatics, specifically leveraging AI and machine learning to automate and enhance data extraction and understanding.
Previously, I served as the Biological Image Analysis Group Leader at the University of Colorado Boulder. There, I led the Bioimaging Lab — a collaborative undergraduate research group — and taught Quantitative Optical Imaging across the Departments of Biochemistry and Molecular, Cellular, and Developmental Biology.
EDUCATION & EXPERIENCE
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Van Andel Institute
Optical Imaging Core
2025 - PresentCore Bioinformatics Scientist II
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University of Colorado Boulder
BioFrontiers Institute
2024 - 2025Biological Image Analysis Group Leader
- Co-lecturer: Quantitative Optical Imaging
- PI: Bioimaging Lab
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University of Colorado Boulder
BioFrontiers Institute
2016 - 2024Image Analysis Specialist
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University of Colorado
Department of Electrical Engineering
2014 - 2016Postdoctoral Research Associate
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Washington University in St Louis
Department of Biomedical Engineering
2011 - 2014Postdoctoral Research Associate
- Photoacoustic wavefront shaping
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University of Otago
Department of Physics
2007 - 2011PhD
- Optical detection of ultrasound
- Spatial homodyne detection
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University of Otago
Department of Physics
2003 - 2006BSc (Hons I)
- Ion trapping in high-finesse optical traps
RECENT PUBLICATIONS
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Artificial Neural Networks for Bioimage Analysis
Richard Cole, Danielle Hunt, and Jian Wei Tay.
Artificial Neural Networks • 2026 -
Calcite precipitation by the nitrogen-fixing cyanobacterium Anabaena sp. ATCC 33047
Christian M. Brininger, Jian Wei Tay, Evan B Johnson, Erin Espelie, and Jeffrey C. Cameron.
Communications Biology • 2025 -
Machine learning models for segmentation and classification of cyanobacterial cells
Clair A. Huffine, Zachary L. Maas, Anton Avramov, Christian M. Brininger, Jeffrey C. Cameron, and Jian Wei Tay.
Photosynthesis Research • 2025
