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 Natural Language and sequential data, and learning representations of entities and political networks for downstream tasks. I recently gave a high level talk on Explainable AI for NLP (slides link).
key words: feature importance methods, counterfactuals, in-network prototype learning, dual encoders, deep reinforcement learning
For the Summer 2020, I have been selected to be an IBM Research PhD fellow for Social Good and will work on a Drug Repurposing for Cancer project using NLP.
In Summer 2019, I interned at Google Cloud AI in Seattle with Besim Avci working on explaining seq2seq models using feature attribution methods on Transformer and LSTM based architectures with attention for machine translation.
In Spring 2019: I was a TA for Responsible AI Graduate Seminar ( lots of papers and presentations 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 also do alot of Data Visualizations. Here is a lecture I have given on modern data visualization and particulary the d3 javascript library for masters level CS/ML students.
I obtained a Masters of Data Science at the UPC in Barcelona in July 2015 (masters thesis on automated construction of political networks).
I have a bachelors in Computer Science, Political Science and Hispanic Studies with a Business minor from UT Austin.
Working papers
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
