Summary
Mohammed Khalfan is a Senior Bioinformatics Specialist at New York University with over a decade of experience building widely used genomics pipelines and tools for research and education. His work bridges hands-on engineering and quantitative research, focusing on regulatory genomics, sequence design, and the statistical foundations of machine learning. Currently he explores generative language models for designing regulatory DNA, applying data-science rigor from his MS in Data Science to biological sequence problems. A veteran of Cold Spring Harbor Laboratory and NYU, he combines production-grade software development with an academic mindset, often turning complex regulatory hypotheses into reproducible computational workflows. Outside core research, he is known for creating tools that lower the barrier to genomic analysis for trainees and collaborators.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at New York University
Master of Science - MS, Bioinformatics and Computational Biology, Master of Science - MS, Bioinformatics and Computational Biology at Newcastle University
Bachelor of Science - BS, Biology, Bachelor of Science - BS, Biology at University of Toronto Scarborough