Professor Choffnes has research interests that involve networking and distributed systems, with a focus on improving the performance and reliability of Internet systems. Much of his work entails deploying instrumented software to large numbers to end users to improve Internet performance and crowdsourcing network measurements. Several of his research projects have resulted in widely used software, including Meddle, which offers users greater transparency and control over network traffic generated by their mobile devices, and Ono, which enables faster downloads and has been adopted by more than 1.4 million users.
Professor Choffnes received the Outstanding PhD Thesis from Northwestern University in 2010 and a three-year NSF/CRA Computing Innovations Fellowship that supported his postdoctoral work at the University of Washington before he joined Northeastern. His research is supported by Google, Measurement Lab, and the NSF and published in the proceedings of conferences that include SIGCOMM, NSDI, and CoNEXT.