Tiburon Benavides
PHD Candidate, Montelione Lab
United States
Summary
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Senior🎓
Top SchoolTiburon Benavides is a PhD candidate in the Montelione Lab at Rensselaer Polytechnic Institute who applies computational structural and systems biology to tackle therapeutic challenges in cancer. With nine years of experience bridging bioinformatics, molecular biology, and software development, he has developed methods from HMM-based local structure prediction to automated NMR NOESY assignment and experimentally informed AlphaFold modeling. His work spans academic and applied settings, including AI-guided peptide therapeutic design and contributions to multi-conformational modeling assessment at CASP16. Comfortable across full-stack engineering and bioinformatics tool development, he combines practical software skills (Node.js, MongoDB) with deep domain expertise in structural biology. An uncommon strength is his cross-disciplinary fluency—moving from ocean microbiome REU projects to cutting-edge protein structure prediction—giving him a broad perspective on biological data and its therapeutic potential.
9 years of coding experience
4.0, 4.0 at Mukwonago High SchoolBioinformatics and Molecular Biology; Computer Science, 3.60, Bioinformatics and Molecular Biology; Computer Science, 3.60 at Rensselaer Polytechnic InstituteHarvard Extension SchoolProgramming languages (1)
Github contributions (5)
TiburonB/ServiceHours
Feb 2017 - Mar 2017
Contributions:5 pushes, 1 branch in 16 days
FRC930/Robot2017
Jan 2017 - Mar 2017
Contributions:39 pushes in 1 month
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