I'm a PhD researcher, freelance data scientist & web developer interested in explainable AI for social good (public policy/healthcare/inequality/creativity)
For Summer 2019, I'm interning at Google Cloud AI in Seattle with Besim Avci working on Explainable ML for text. In Summer 2018 I interned at Google Research in Mountain View with Jason Baldridge working on entity linking.
I'm currently pursuing a PhD in Electrical & Computer Engineering (ECE) at UT Austin & working with Dr. Joydeep Ghosh's IDEAL lab and Dr. Paydayfar's group at Dell Medical School.
My research interests broadly involve explaining ML model decisions on NLP and Time Series data, and continuous representations of entities and political networks. See more at WNCG profile. I do alot of data visualizations.
I obtained a Masters of Data Science at the UPC in Barcelona in July 2015 (masters thesis).

Spring 2019: TA for Responsible AI Graduate Seminar, Fall 2017: TA for Advanced Data Mining Masters course
selected ML projects: Predicting Politician Party Affiliation (paper/presentation), Link Detection in Political Networks Using Graph Convolutional Networks (paper/presentation)
Some data viz projects: Pitchfork(viz), Spotify, Glasstire, Music, US Elections, Blue Islands (2016 / 2012), Countries, Foreign Films
A paper based on my thesis "Automated Construction and Analysis of Political Networks via open government and media sources" was accepted into the 2016 European Conference on Machine Learning (ECML) SoGood workshop. Masters project here & related talk at Northeastern Net Sci Institute.
I was selected as an Eric & Wendy Schmidt Data Science for Social Good 2016 fellow.