About

I am a first-year doctoral student in the Language Technologies Institute at Carnegie Mellon University where I am advised by Yonatan Bisk and Emma Strubell.

My research interests are primarily in machine learning and natural language processing. My goal is to build practical systems able to understand and reason about the world via natural language. My research is generously supported by the NSF Graduate Research Fellowship.

Previously, I received my B.S. in Computer Science and B.S. in Electrical Engineering at Northwestern University where I worked with Doug Downey and Thrasos Pappas. I’ve also spent time as a Software Engineer at Google.

Outside of research, I enjoy spending time outdoors, messing around with dev tools, and playing games.

Email: jaredfern [at] cmu.edu

News:
$\qquad$ [April 2021] $\quad$ Awarded an NSF Graduate Research Fellowship!
$\qquad$ [Aug. 2020] $\quad$ Starting as a PhD student at Carnegie Mellon University!
$\qquad$ [Nov. 2019] $\quad$ Starting fulltime as a Software Engineer at Google!

Publications

Generative Data Augmentation for Commonsense Reasoning

Findings of EMNLP, 2020.
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
PDF Code Project

CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense

Workshop on Evaluating Vector Space Representations for NLP (RepEval), 2019.
Michael Chen, Mike D'arcy, Alisa Liu, Jared Fernandez, Doug Downey
PDF Code Poster

Sampling Informative Training Data for RNN Language Models

ACL Student Research Workshop (ACL-SRW), 2018.
Jared Fernandez, Doug Downey
PDF Code Poster

VecShare: A Framework for Sharing Word Representation Vectors

Empirical Methods in Natural Language Processing (EMNLP), 2017.
Jared Fernandez, Zhaocheng Yu, Doug Downey
PDF Code Poster