Lisa Fan

I'm a software engineer at Google based in New York. Last year I received a Master's degree from Northeastern University studying Natural Language Processing under Professor Lu Wang. In 2017, I graduated from Tufts University with a BS/MS in Computer Science.

Currently, I'm working with the Funding Choices team to help publishers comply with privacy regulations and recover lost revenue from ad blockers.

Publications

In Plain Sight: Media Bias Through the Lens of Factual Reporting
Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, and Lu Wang.
Empirical Methods in Natural Language Processing (EMNLP), 2019.
[pdf] [bibtex] [arxiv] [github]
Robust Neural Abstractive Summarization Systems and Evaluation against Adversarial Information
Lisa Fan, Dong Yu, and Lu Wang.
NeurIPS Workshop on Interpretability and Robustness in Audio, Speech, and Language, 2018.
[pdf] [bibtex] [arxiv] [poster]
Do We Need Emotionally Intelligent Artificial Agents? First Results of Human Perceptions of Emotional Intelligence in Humans Compared to Robots
Lisa Fan, Matthias Scheutz, Monika Lohani, Marissa McCoy, and Charlene Stokes.
Proceedings of the seventeenth International Conference on Intelligent Virtual Agents, 2017.
[pdf] [bibtex]
Best Paper Award Nomination

Projects

Sketch GAN

Final project for Deep Learning for Computer Vision (spring 2017). We built a generative adversarial network that produces photorealistic images from hand drawn sketches.
[pdf] [slides] [examples]

About Me

I grew up in New Jersey, but I have also lived in Japan for a few years. In my spare time I enjoy watching films and playing the theremin. I also like to scuba dive and travel (32 countries and counting!). The banner photo was taken on Waewaetoria Island, New Zealand.

Here's my resume.