I'm a first year Ph.D. student at the University at Buffalo, where I study computer science and, specifically, mobile systems and machine learning. Previously, I worked at edX for a year, where I worked on all the stacks on the "full stack" - from accessible front-end components and CSS-tinkering, to countless management commands and APIs in Python and Django, to devops and system administration for VEDA, edX's video encoding and delivery pipeline. Before that, I graduated from Brandeis University with a degree in computer science.
- Senior thesis: “Clouds That Think: Applications of Machine Learning Techniques for Elastic Databases". pdf
For more, see the projects page of this website.
Ryan Marcus, Olga Papaemmanouil, Sofiya Semenova, and Solomon Garber. "NashDB: An Economic Approach to Fragmentation, Replication and Provisioning for Elastic Databases." 37th ACM Special Interest Group in Data Management 2018. (SIGMOD 2018) pdf
Ryan Marcus, Sofiya Semenova, and Olga Papaemmanouil. “A Learning-based Service for Cost and Performance Management of Cloud Databases (Demonstration).” IEEE International Conference on Data Engineering (ICDE) 2017. (ICDE 2017) pdf