Jenny Liang (she/her/hers)

I'm an undergraduate researcher at the University of Washington. I'm fascinated by how we can build intelligent and personalized developer tools using software engineering (SE), human-computer interaction (HCI), and applied machine learning (ML).

I've had the privilege of doing research with the Code & Cognition Lab and the Information & Communication Technologies for Development (ICTD) Lab. I currently am a predoctoral young investigator on the MOSAIC team at the Allen Institute of Artificial Intelligence.

Before doing research, I did software engineering at Microsoft, Apple, and Uber. I intend to use my engineering background and broad research background to drive my SE research.

Email  /  CV  /  Google Scholar  /  LinkedIn

profile photo
News
Publications
Towards Mining OSS Skills from GitHub Activity
Jenny Liang, Thomas Zimmermann, Denae Ford Robinson
IEEE/ACM International Conference of Software Engineering - New Ideas and Emerging Results (ICSE NIER), 2022   (Oral Presentation)
presentation / paper

Developing a novel approach to skills detection for OSS-related skills and prototyping it in a tool called DISKO.

An Exploratory Study of Sharing Strategic Programming Knowledge
Maryam Arab, Thomas LaToza, Jenny Liang, Amy J. Ko
ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2022
paper

Investigating the challeges behind articulating, using, and improving on explicit programming strategies.

Delphi: Towards Machine Ethics and Norms
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Maxwell Forbes, Jenny Liang, Oren Etzioni, Maarten Sap, Yejin Choi
arXiv, 2021
demo / paper

A preliminary exploration on modeling people’s moral judgments on a variety of everyday situations to create more ethical, socially responsible AI.

HowToo: A Platform for Sharing, Finding, and Using Programming Strategies
Maryam Arab, Jenny Liang, Yang Kyu Yoo, Thomas LaToza, Amy J. Ko
IEEE Visual Languages and Human-Centric Computing (VL/HCC), 2021
demo / paper

How sharing and collaborating on explicit programming strategies impacts developers’ problem-solving abilities.

Whale Watching in Inland Indonesia: Analyzing a Small, Remote, Internet-Based Community Cellular Network
Matthew Johnson, Jenny Liang, Michelle Lin, Sudheesh Singanamalla, Kurtis Heimerl
The Web Conference (WWW), 2021
paper

Analyzing a novel dataset on traffic data to produce insights on a small, remote, internet-based community network.

Experiences: Design, Implementation, and Deployment of CoLTE, a Community LTE Solution
Spencer Sevilla, Matthew Johnson, Pathriat Kosakanchit, Jenny Liang, Kurtis Heimerl
ACM International Conference On Mobile Computing And Networking (MobiCom), 2019
project page / paper

Experiences of building and deploying community-owned and -operated LTE networks in rural areas.

An All-in-One Community LTE Network
Spencer Sevilla, Matthew Johnson, Pathriat Kosakanchit, Jenny Liang, Kurtis Heimerl
ACM International Conference On Mobile Computing And Networking (MobiCom), 2019   (Oral Presentation)
project page / paper

Demo for the Community LTE project (CoLTE) to be presented at the Mobicom 2019 conference.

Projects
COMET demo
demo / project page / paper

Research demo for COMET to make commonsense inferences on text-based situations for before, during, and after the event.

Visual COMET demo
demo / project page / paper

Research demo for Visual COMET to make visual commonsense inferences on images for events before, during, and after the image.

Teaching
cs188 Undergraduate Teaching Assistant, Building Academic Success through Bottom-Up Computing / Introduction to Computer Systems (Spring 2020)

Undergraduate Teaching Assistant, Software Design & Implementation (Winter 2020, Autumn 2019)

Undergraduate Tutor, Computer Programming I, Computer Programming II (Spring 2019)

Undergraduate Teaching Assistant, Computer Programming II (Winter 2019, Spring 2018)

Undergraduate Teaching Assistant, Computer Programming I/II, accelerated (Autumn 2018)

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