The Harvard RSE Team’s Contribution to Community-Driven Software
Established in 2019 at Harvard University, the Research Software Engineering (RSE) team at University Research Computing and Data Services has dedicated itself to providing exceptional service, closely collaborating with researchers to enhance their computational endeavors. We specialize in applying software engineering and research computing best practices and refining algorithms for High Performance and Cloud Computing. Our successful deployment of software packages, widely adopted by both end-users and enterprise-level software engineering teams, is a testament to our impact and dedication.
A highlight of our accomplishments is the CausalGPS R package, led by Senior Research Software Engineer Dr. Naeem Khoshnevis. This package, with over 12K downloads on CRAN, has significantly influenced the ArcGIS core team. They used CausalGPS as a foundational blueprint, adapting and rewriting the code for their specific needs while employing it as a primary framework for their inaugural CausalInference feature in the Geoprocessing toolbox. Discover more about this here.
Since joining the RSE team in January 2021, Naeem has been a key contributor to the NSAPH team under the guidance of Prof. Francesca Dominici. This team is dedicated to building a healthier future by studying the effects of pollution on health metrics. The software packages Naeem has led and maintained, such as CausalGPS, GPCERF, and CRE, have collectively accumulated over 20K downloads.
Furthermore, Naeem collaborates with the Harvard Edge Computing Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences, under the leadership of Prof. Vijay Janapa Reddi. Their focus is on deploying machine learning models on edge devices, a critical area for the future of AI and privacy. For additional details, please visit tinyMLx and MACHINE LEARNING SYSTEMS with TinyML.
The RSE team is proud to uphold the highest standards in software engineering practices, catering to a broad spectrum of requirements from compact devices to large-scale High-Performance Computing systems. For more information about our team and our projects, please visit us at Harvard RSE Team.