Jenny Liang

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

News

[Dec 2021] Our paper on mining open source software (OSS) skills from GitHub activity was accepted to ACM/IEEE International Conference on Software Engineering: New Ideas and Emerging Results (ICSE NIER) 2022! A big thank you to Thomas Zimmermann and Denae Ford-Robinson for their fantastic mentorship.
[Nov 2021] Our paper on authoring explicit programming strategies was accepted to ACM CHI Conference on Human Factors in Computing Systems (CHI) 2022! Congratulations to first author Maryam Arab for this work.
[Jun 2021] Our paper on a programming strategies sharing platform was accepted to Visual Languages and Human-Centric Computing (VL/HCC) 2021! Congratulations to first author Maryam Arab for this work.
[Apr 2021] Starting autumn 2022, I'll be starting my Ph.D. in software engineering at Carnegie Mellon University! Big thank you to all my friends, family, and mentors who have provided me their unconditional support.
[Mar 2021] I'm happy to announce that I'm a 2021 National Science Foundation Graduate Research Fellowship Program (NSF GRFP) recipient!

Publications

	An Exploratory Study of Sharing Strategic Programming Knowledge Maryam Arab, Thomas La Toza, Jenny Liang, Amy J. Ko ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2022 (to appear) 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 La Toza, Amy J. Ko Visual Languages and Human-Centric Computing (VL/HCC), 2021 demo / project page 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 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 Mobicom, 2019 project page 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 Mobicom, 2019 (Oral Presentation) project page Demo for the Community LTE project (CoLTE) to be presented at the Mobicom 2019 conference.

Projects

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

Teaching

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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