I'm a PhD researcher, freelance data scientist & web developer interested in explainable AI for social good (public policy/healthcare/inequality/creativity)
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 Machine Learning model decisions on NLP and Time Series data, and continuous representations of entities and political networks.
I also do alot of Data Visualizations. Here is a lecture I gave on it.
In Summer 2019, I'm interned at Google Cloud AI in Seattle with Besim Avci working on Explainable ML for text.
In Spring 2019: I was a TA for Responsible AI Graduate Seminar ( lots of material on Explainability, Fairness, etc)
In Summer 2018, I interned at Google Research in Mountain View with Jason Baldridge working on entity linking.
In Fall 2017: I started at UT and was a TA for an Advanced Data Mining Masters course.
In Summer 2016, I was selected as an Eric & Wendy Schmidt Data Science for Social Good 2016 fellow at the Unviersity of Chicago and worked with SEDESOL of Mexico on improving their distribution of social services.
I obtained a Masters of Data Science at the UPC in Barcelona in July 2015 (masters thesis).
A selection of publications and projects, academic, professional and personal, that I've done with a heavy visual component.
IJCAI 19 Knowledge and Health Discovery Long paper)
Identify Blue Counties in America that are surrounded by Red ones, and Predict if a county is a blue island based on just socio-economic and public health data.
List of Spotify's Clarify Data Stories series articles written by Rob Mitchum for which I contributed data mining and data visualization, 2016.
'
How Music Crosses American Borders
Debt Anxiety in Today’s Pop Music
Visualizations related to my masters thesis project in Barcelona about Texas Politics. Click here for Thesis Presentation Slides
