I am a PhD. student in the Department of Computer Science at Purdue University. My research interests are in the areas of Natural Language Processing and Machine Learning. Particularly in highly structured problems that require complex inferences. My work focuses on combining deep learning and declarative inference for conversational and relational domains. I am currently working with Professor Dan Goldwasser as part of the Purdue NLP Group.


Leveraging Textual Specifications for Grammar-based Fuzzing of Network Protocols

Published by IAAI 2019

Samuel Jero, Maria Leonor Pacheco, Dan Goldwasser and Cristina Nita-Rotaru

Leveraging Representation and Inference through Deep Relational Learning

Published by NeurIPS 2018 Workshop on Relational Representation Learning

Maria Leonor Pacheco, Ibrahim Dalal and Dan Goldwasser.

Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings

Published by SemEval 2017

I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Johnson, Xiao Zhang, Maria Leonor Pacheco and Dan Goldwasser

DRaiL: A Step Towards Declarative Deep Relational Learning

Published by EMNLP 2016 Workshop on Structured Prediction

Maria Leonor Pacheco*, Xiao Zhang*, Chang Li and Dan Goldwasser

Adapting Event Embedding for Implicit Discourse Relations

Published by CoNLL 2016 Shared Task

Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia and Dan Goldwasser

A Universal Background Approach for Autorship Verification

Published by CLEF 2015 (Working Notes)

Maria Leonor Pacheco, Kelwin Fernandes and Aldo Porco

Dept. of CS, Purdue University 2017-01-02 —

Graduate Research Assistant
  • Develop DRaiL, a declarative language for deep relational learning
  • (Deep) structured prediction and representation learning for NLP and relational data

Twitter - Cortex 2018-06-11 — 2018-08-31

Software Engineering Intern

Learning distributed representations for tweets using deep neural architectures

Dept. of CS, Purdue University 2015-08-17 — 2016-12-21

Graduate Teaching Assistant
  • Bridge to Computer Science Program (Summer 16)
  • CS180: Problem Solving and Object Oriented Programming (Fall 15 - Fall 16)

Predictvia 2013-11-01 — 2015-07-30

Software Engineer

Designed and implemented AI solutions for consumer analysis and digital marketing

Nagaoka University of Technology 2011-09-15 — 2012-07-30

Research Intern

Visiting student at the Knowledge Systems Laboratory (KSLab). I worked on Information Extraction from tweets for disaster relief during mass emergencies

Purdue University 2015-08-17 —

Computer Science

Universidad Simón Bolívar 2007-09-15 — 2013-07-30

Computer Science and Engineering

Teaching Academy Graduate Teaching Award

by Purdue Graduate School
19th Annual Celebration of Graduate Teaching Excellence, April 2017

Student Exchange Support Scholarship

Scholarship for Short-Term Study in Japan in the year 2011-2012