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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 |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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. |
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demo / project page / paper Research demo for COMET to make commonsense inferences on text-based situations for before, during, and after the event. |
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demo / project page / paper Research demo for Visual COMET to make visual commonsense inferences on images for events before, during, and after the image. |
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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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