Manu Jayadharan is an applied mathematician and computational scientist with eight years of experience building high-performance numerical solvers and data-driven methods for PDEs and inverse problems. After earning a Ph.D. in numerical analysis and HPC, he translated academic rigor to industry as a quant at Citi, developing pricing and risk tools for illiquid credit products in LATAM using C++ and Python. Now a postdoctoral scholar in Chicago, he focuses on sparse optimization techniques to discover algebraic differential equations with applications in biology and physics while publishing and maintaining scientific software. His background spans CFD, computational biology, stochastic modeling and financial math, and he brings practical experience with legacy and modern languages from Fortran to Python. Notably, he pairs hands-on trading-desk collaboration and licensed finance experience with deep numerical-analysis expertise, enabling solutions that bridge theory and production.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Pittsburgh
Master of Science - MS, Mathematics, Master of Science - MS, Mathematics at IISER Mohali
Modified version of BIotDD with more functions added. Later need to be merged with BiotDD.
Contributions:14 PRs, 26 pushes, 8 branches in 3 years 11 months
mergedminecraftneedmodified
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Manu Jayadharan - Postdoctoral Scholar at Northwestern University