Summary
Nur Shahir is a translational bioinformatician and data scientist with nine years of experience bridging computational methods and biological discovery across academia, government, and consulting. With a PhD in Bioinformatics and Computational Biology and a strong quantitative foundation from MIT and UMBC, Nur has led projects at Booz Allen Hamilton and driven postdoctoral research at Penn State, translating complex genomic and metagenomic datasets into actionable insights. Their background spans hands-on wet-lab training at NIH/NHGRI and computational tool development, enabling fluency in both experimental design and statistical modeling. Known for refusing to treat disciplines as siloed, Nur combines biostatistics, machine learning, and domain expertise to tackle translational problems. Based in the Washington DC–Baltimore area, they bring a rare blend of research rigor and product-minded execution to cross-disciplinary teams. An understated strength is their experience teaching and mentoring across levels, from undergraduate calculus to training new lab fellows.
9 years of coding experience
2 years of employment as a software developer
S.B Mathematics, S.B Mathematics at Massachusetts Institute of Technology
High School Diploma, High School Diploma at The Learning Community International
UMBC
Doctor of Philosophy (Ph.D.) Bioinformatics and Computational Biology, Doctor of Philosophy (Ph.D.) Bioinformatics and Computational Biology at University of North Carolina at Chapel Hill