Manisha Munasinghe is an evolutionary geneticist and computational biologist with a decade of experience using mathematical biology, statistical genetics, simulations, and bioinformatics to connect genetic variation to phenotypes across plant and animal systems. As an NSF Postdoctoral Research Fellow at the University of Minnesota, she combines theory and long-read genomics to dissect a unique hybrid incompatibility between maize and teosinte and investigates non‑Mendelian inheritance across taxa including Drosophila and Mus. Her work routinely integrates analytical theory, large-scale simulation, and genomic data, producing publicly available tools and fostering cross-disciplinary collaborations. Trained in computational biology (PhD work at Cornell) with a strong quantitative foundation (BS in Mathematics), she also brings leadership experience from student governance and teaching roles that emphasize accessibility and community advocacy. An unexpected strength is her focus on how selfish genetic elements and mito‑nuclear conflict shape both microevolutionary and species-level patterns, making her research relevant to evolutionary theory and applied genomics.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, 3rd Year Student, Doctor of Philosophy - PhD, Computational Biology, 3rd Year Student at Cornell University
High School, High School at Troy High School
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Michigan State University
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