Christopher Cameron is a computational scientist and computational biologist with 10 years of experience applying statistical modeling, machine learning, and high-resolution bioinformatics to structural and regulatory genomics problems. He completed a PhD in Computer Science (bioinformatics) at McGill and spent a postdoctoral term at Yale developing methods to integrate prior information into cryo-EM image processing, now working at the New York Structural Biology Center while holding academic appointments at Columbia and the University of Guelph. His work spans chromosome conformation capture, ChIP-derived 3D genomics, and cryo-EM, combining domain knowledge in biology with software and algorithm development dating back to early roles as a Java developer. Colleagues describe him as collaborative and open to new partnerships—he explicitly invites scientific collaborations—and he brings a cross-disciplinary perspective shaped by international experience including a JSPS fellowship in Japan.
10 years of coding experience
12 years of employment as a software developer
Master of Science (MSc.), Bioinformatics, Master of Science (MSc.), Bioinformatics at University of Guelph
Doctor of Philosophy (PhD), Computer Science with a concentration in Bioinformatics, Doctor of Philosophy (PhD), Computer Science with a concentration in Bioinformatics at McGill University
Contributions:23 commits, 21 pushes, 1 tag in 2 years 2 months
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