I’m a data scientist, former psychologist with neuroscience background and experience in UX research.

My PhD focused on designing experimental and computational methods to explain how human brain processes 💰lucrative💰 locations in the 2D visual space using real-time eye tracking👀. These days I’m happier to apply my skills to projects outside the lab. I’ve worked on projects in classification, regression, clustering, NLP, recommender systems, time series, A/B testing, geospatial analysis, event-logging and web scraping.

As a Data Science Fellow at Insight within 3 weeks I implemented and validated an engine which uses NLP and principal component analysis (PCA) to produce recommendations of artworks based on curatorial descriptions. Feel free to play around with a prototype hosted on AWS using Flask here and if you feel like reading a bit more, here is a short presentation.

My undergraduate background is in cognitive neuroscience with a minor in human-computer interaction. I love participating in hackathons (in fact, I organized one recently) and I am passionate about science outreach - I volunteered for years all around NYC teaching neuroscience in elementary schools. Feel free to reach out to me about data science, experimental design, user testing or eye tracking and browse my github to see how I implement and test my code.