Ashreya Jayaram is a Vice President and physicist-turned-quantitative analyst with eight years of experience building numerical models and production-ready Python tooling for financial valuation and risk. She pairs deep analytical skills in stochastic modelling, Monte Carlo and molecular-dynamics-style simulation with practical software practices (Python, C++, SQL, Git) to validate and deploy valuation engines across large institutions. Her background includes a summa cum laude PhD in physics, multiple peer-reviewed publications, and leadership of multi-institutional research efforts—experience she translates into clear stakeholder communication and cross-functional collaboration. An active technical writer for the well-known ESPResSo molecular simulation project, she improves usability through tutorials and documentation, reflecting a commitment to reproducibility and user education. Outside of work she balances analytical rigor with team sports and strategy games, often finding fresh modeling inspiration on hikes or over coffee.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Summa cum laude (highest distinction), Doctor of Philosophy - PhD, Physics, Summa cum laude (highest distinction) at Johannes Gutenberg University Mainz
Bachelor of Science - BSc, Physics, 9.394 / 10, Bachelor of Science - BSc, Physics, 9.394 / 10 at Stella Maris College
Master of Science - MSc, Physics, 1.3 (grading system: 1.0=best, 4.0=passing grade), equivalent GPA: 3.8 / 4, Master of Science - MSc, Physics, 1.3 (grading system: 1.0=best, 4.0=passing grade), equivalent GPA: 3.8 / 4 at University of Stuttgart
High school, 93.8%, High school, 93.8% at P.S Senior Secondary School
Contributions:27 commits, 3 PRs, 2 comments in 9 months
Contributions summary:Ashreya's commits primarily focus on creating and updating documentation for the ESPResSo package. They converted a Lennard-Jones tutorial to an iPython notebook format, added references, and a table of contents, significantly improving the tutorial's usability. Further commits included fixing typos and making minor syntax adjustments within the documentation. The work demonstrates a focus on enhancing the educational resources for users of the ESPResSo software.
Contributions:1 PR, 18 pushes, 7 branches in 9 months
espressoesp32
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