Maria Leonor Pacheco

About Me

I am a Visiting Assistant Professor of Computer Science at the University of Colorado Boulder, and a Postdoctoral Researcher at Microsoft Research NYC. In Fall 2023, I will move to a tenure-track Assistant Professor position at CU Boulder. I completed my PhD in Computer Science at Purdue University under the supervision of Prof. Dan Goldwasser.

My Work

I primarily work on Natural Language Processing. I am mostly interested in the integration of human expertise 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, and the behavioral and social sciences.

I am looking for PhD students to start in Fall 2023. For more details, take a look at my research statement, and this talk. If you think that we could be a good match, apply to CU and mention my name in your application. I will carefully consider all applications of prospective students interested in working with me. However, I might not be able to reply to all prospective students email. For more thoughts on this, I recommend Prof. Yonatan Bisk’s notes on cold emailing professors.


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

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