I am an Assistant Professor of Computer Science at the University of Colorado Boulder, where I lead the Boulder Language and Social Technologies group. Before joining CU, I was a Postdoctoral Researcher at Microsoft Research NYC. I completed my PhD in Computer Science at Purdue University, and my BSc. in Computer Science and Engineering at the Universidad Simon Bolivar in Caracas, Venezuela, where I was born and raised.
I am also an active organizer for Queer in AI and LatinX in AI.
I primarily work on Natural Language Processing and Machine Learning. I am mostly interested in the integration of structured knowledge and statistical models, and in the relationship between language and social systems. Most of my previous work has focused on structured prediction and (deep) statistical relational learning, and their application for analyzing public discourse, argumentation and narratives. I am a strong believer in interdisciplinary, collaborative work. I actively collaborate with researchers in linguistics, security, human-computer interaction, bioinformatics, and the behavioral and social sciences.
June 2023
Our Queer in AI paper won a best paper award at FAccT 2023!
May 2023
Our new paper on interactive concept learning for uncovering themes in text collections was accepted to Findings of ACL 2023!
Apr 2023
At Queer in AI we are proud to present our FAccT 2023 paper on Queer in AI as a case study for community-led participatory design in AI
Oct 2022
Don’t miss our COLING 2022 Tutorial on Neuro-Symbolic NLP! This is joint effort with Sean Welleck, Dan Goldwasser, Vivek Srikumar, Yeijin Choi and Dan Roth
Sep 2022
Our new hands-on demo on neuro-symbolic modeling with DRaiL was accepted to EMNLP 2022!
July 2022
I’ll be giving a keynote at the LatinX in NLP Workshop @ NAACL 2022
April 2022
Our new paper on a holistic framework to analyze opinions about the covid vaccine was accepted to NAACL 2022
Feb 2022
Our new paper on learning social context representations for fake-news detection was accepted to ACL 2022
Dec 2021
Our new paper on leveraging NLP for automated attack synthesis was accepted to IEEE S&P 2022. This is a collaboration with NDS2 @ Northeastern University