Summary
Prasad Bandarkar is a Research Computing Specialist with 9 years of experience applying computational science to experimental problems, currently supporting research at Brown University. He combines expertise in data analysis, statistical simulation, machine learning, and high-performance computing to build reproducible workflows and analyze multi-gigabyte simulation datasets. Previously he supported a diverse scientific community at Northeastern, deploying HPC software stacks, containers, and cluster monitoring at scale. Prasad has a PhD in Physics and extensive teaching experience, having trained and mentored graduate students in numerical methods and Python. He is comfortable bridging experimental and computational teams, translating messy lab data into tractable statistical models. His public code and reproducible tools on GitHub reflect a practical focus on scalable, well-documented research software.
9 years of coding experience
6 years of employment as a software developer
DPVN
Indian Institute of Technology Bombay
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Northeastern University
High School Diploma, Electronics, High School Diploma, Electronics at Ramnarain Ruia College - Mumbai
English, Hindi, Marathi