Our team at Appfigures provides a suite of tools to help our customers better understand the vast world of mobile apps and improve their app performances. Most recently, with the help of our extensive database of app metadata, I developed several classification pipelines to identify matching entities across different mobile app stores (i.e. cross-platform apps and developers) using natural language processing (NLP) methods. I also tackle various projects using a mix of Python, R, SQL, and shell scripting to maintain and improve our infrastructure.
My Ph.D research focused on the role of food web interactions in shaping observed variability in phytoplankton biomass and community structure. I continue to investigate questions that were asked but left unanswered over the course of my Ph.D.
- Mechanisms that lead to biodiversity in planktonic ecosystems
- Distinguishing between biological and physical contributions to ecosystem variability