Rowan Zellers

(email / github / blog / @rown)

I am a first-year graduate student in Computer Science in the University of Washington CSE department, where I study computer vision, natural language processing, and artificial intelligence. My advisor is Yejin Choi. I am supported by the NSF and ARCS Fellowships.

In the past, I graduated from Harvey Mudd College in 2016, where I majored in Computer Science and Mathematics. As an undergraduate, I worked on several research projects: with Prof. Louis-Philippe Morency, on deep multimodal machine learning, and with Prof. Jacqueline Dresch, on computational biology.


Here is an (outdated) list of publications. For more, check out my Google Scholar profile, or read my cv.

Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages
Amir Zadeh, Rowan Zellers, Eli Pincus, Louis-Philippe Morency. IEEE Intelligent Systems 2016 [paper]

We provide a study of sentiment analysis applied on video data, not just text. We present a model that exploits the dynamics between gestures and verbal messages, which improves over the the conventional early fusion representation.

Nucleotide Interdependency in Transcription Factor Binding Sites in the Drosophila Genome
Jacqueline Dresch, Rowan Zellers, Daniel Bork, Robert Drewell. Gene Regulation and Systems Bio 2016. [paper]

We use the MARZ algorithm to study binding sites for 15 distinct regulatory proteins in the Drosophila (fruit fly) genome.

MARZ: an algorithm to combinatorially analyze gapped n-mer models of transcription factor binding
Rowan Zellers, Robert Drewell, Jacqueline Dresch. BMC Bioinformatics 2015. [paper+code]

We present a model for modeling the specificity with which regulatory proteins bind to DNA sequences during embryonic development.


Deep Learning Workshop

In November 2015 at Harvey Mudd, I organized a workshop for students in CS158: Machine Learning and CS151: Artificial Intelligence on Deep Learning. Slides are available here.