1. 2019: Published 'A Cost-Driven Approach to Caching-as-a-Service in Cloud-Based 5G Mobile Networks'
2. 2018: Published 'Learning Cheap and Novel Flight Itineraries' and 'Consume Local: Towards Carbon Free Content Delivery'
3. 2017: Published 'Wearing many (social) hats: How different are your different social network personae?' and 'Bridging big data and qualitative methods in the social sciences: A case study of Twitter responses to high profile deaths by suicide'
4. 2016: Published 'Identifying Partisan Slant in News Articles and Twitter during Political Crises' and 'Take-away TV: Recharging Work Commutes with Greedy and Predictive Preloading of TV Content'
5. 2015: Published 'Predicting Pinterest: Automating a distributed human computation' and 'ISP-friendly Peer-assisted On-demand Streaming of Long Duration Content in BBC iPlayer' etc.
Research Experience
1. Research Scientist at Facebook Core Data Science team
2. Data Scientist at Skyscanner
3. Researcher at King’s College London
Background
Research interests: at the intersection between systems design, data analysis, and machine learning. Brief introduction: Research Scientist on the Facebook Core Data Science team, working on understanding and modeling large-scale user behavior. Previously worked as a Data Scientist at Skyscanner and as a Researcher at King’s College London.