Summary
Cathy Su is a bioinformatics scientist with 10 years of quantitative research experience, blending a PhD in Computational Biology and an MS in Machine Learning from Carnegie Mellon with industry roles at Novasenta and now Avista Therapeutics. She specializes in applying computational methods to biology-driven problems, moving models from hypothesis to actionable insight in translational settings. Her background spans wet-lab genomics work and software-first motif discovery, giving her uncommon fluency across experimental design, sequence analysis, and ML approaches. As an early leader (iGEM president) she has a track record of building interdisciplinary teams and securing funding to translate student projects into research opportunities. Based in Pittsburgh, she brings both academic rigor and startup-style execution to bioinformatics challenges.
10 years of coding experience
4 years of employment as a software developer
Ontario Scholar OSSD, Ontario Scholar OSSD at Ursula Franklin Academy
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Bachelor of Science (B.S.) Biological Physics, Bachelor of Science (B.S.) Biological Physics at University of Toronto
Doctor of Philosophy - PhD Computational Biology, Doctor of Philosophy - PhD Computational Biology at Carnegie Mellon University
English, Chinese, French