Research Software Engineering

Bringing Advanced Software Engineering Expertise to Research Groups at Princeton

RSE Group Photo November 2021

The Princeton RSE Group (Fall 2021). From left to right: Christopher Langfield, Joshua Carmichael, Abhishek Biswas, Garrett Wright, Troy Comi, Calla Chennault, Ian Cosden, Henry Schreiner, Bei Wang, Michal Grzadkowski, Vineet Bansal, and David Turner. Photo Credit: Floe Fusin-Wischusen, PICSciE. Not pictured: Colin Swaney, Amy Defnet, and William Hasling. 

In today’s competitive research environment, high-quality software is critical for successful academic programs. Princeton’s Research Software Engineering Group is helping to redefine the collaborative possibilities between software engineers and traditional research groups, in order to maximize each project’s success.

We invite you to learn more about our work. Read featured group projects and see the Princeton RSE group blog for technical posts and highlights. 

About Us

Our Research Software Engineering group is part of the Princeton Research Computing consortium, located in the distinctive Lewis Library. Our mission is to help researchers create the most efficient, scalable, and sustainable research codes possible in order to enable new scientific advances.

We do this by working as an integral part of traditional academic research groups, providing leadership in the design and construction of complex and highly customized software systems. We can support sophisticated data science and computational research projects in high energy physics, machine learning, neuroscience, and genomics, among many other disciplines.

We provide our partner groups with domain-specific algorithms and solution techniques; optimization and performance tuning; and insights and guidance with current and future software development tools, programming languages, and high-performance computing hardware. 

Our group is committed to creating a collaborative environment in which best software engineering practices are valued, and to sharing and applying cross-disciplinary computational techniques to new and emerging areas.

Questions? Email Ian Cosden, Director, Research Software Engineering for Computational & Data Science.


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