Bonita Lam is a bioinformatics scientist with a PhD in biological sciences and eight years of experience applying electrochemical and molecular techniques to study environmental microbial communities. She combines hands-on lab expertise—from culturing novel microbes and analytical chemistry to sequencing—with computational analysis of metagenomic and metatranscriptomic datasets. At Agilent she translates complex biological data into actionable insights, building on prior roles curating scientific data at Stanford and leading metagenomic investigations as a USC postdoc. She has taught at both community college and university levels, reflecting strong communication skills for diverse audiences. Notably, her work bridges experimental enrichment of electroactive biofilms with bioinformatic pipelines, enabling discovery at the interface of microbiology and data science.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biology/Biological Sciences, General, Doctor of Philosophy (Ph.D.), Biology/Biological Sciences, General at University of Southern California
B.S., Molecular Environmental Biology, B.S., Molecular Environmental Biology at University of California, Berkeley
Contributions:2 PRs, 2 pushes, 3 branches in 1 day
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