Caleb Chan
Senior Computational Scientist In Digital Pathology
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolCaleb Chan is a senior computational scientist in digital pathology with nine years of cross-disciplinary experience bridging machine learning, quantitative image analysis, and experimental cell biology. He combines a PhD in Biochemistry and a CS/EE undergraduate background to build unsupervised deep learning and PCA-driven pipelines for analyzing human iPSC variation and neutrophil motility, now applied at Genentech. Caleb’s work spans Python and MATLAB engineering, live and super-resolution microscopy, and biochemical assays, enabling close collaboration with graduate students, postdocs, and faculty that has yielded peer-reviewed publications. He also brings entrepreneurial engineering experience from co-founding and leading a high-tech startup, an uncommon blend that helps translate research prototypes into production-ready tools.
9 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering & Computer Science, Bachelor of Science (B.S.), Electrical Engineering & Computer Science at University of California, BerkeleyDoctor of Philosophy (Ph.D.), Biochemistry, Doctor of Philosophy (Ph.D.), Biochemistry at Stanford University School of Medicine
Github Skills (16)
autoencoder9
histopathology8
generative-adversarial-network8
lottery8
medical-image-analysis8
digital-pathology7
image-analysis7
machine-learning6
python6
identity5
imaging5
toolbox5
deep-learning5
pytorch5
data-science2
Programming languages (2)
Github contributions (5)
Calebium/dc-docker
Jun 2017 - Aug 2017
Contributions:3 pushes, 1 branch in 2 months
Calebium/recipes
May 2017 - May 2017
Contributions:2 PRs, 6 pushes, 2 branches in 1 day
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