About
Background, experience, honors, service, and teaching. The CV (PDF) carries the same material in one file.
Background
I have interned at Apple (wireless user research, 2026) and Nokia Bell Labs (advanced sensing, 2025). Before UIUC, I was an M.Eng. student (originally a Ph.D. student) at the University of Virginia Link Lab.
Earlier, I worked with Prof. Laura Barnes (UVa), Prof. Ang Li (UMD), Prof. Mehdi Boukhechba (UVa, now at Janssen R&D), Prof. Carl Yang (Emory), Prof. Pan Li (GaTech), Prof. José Luis Ambite (USC ISI), Prof. Tiffany Tang (WKU), and Prof. Pinata Winoto (WKU).
Experience
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Apple, Austin, TX
Wireless User Research Intern, Spring 2026
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Nokia Bell Labs, NJ
Advanced Sensing & Device Intern, Summer 2025
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Abbott, TX
Scientist I, Spring 2023
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University of Virginia, School of Data Science, VA
Teaching Assistant, Spring 2021 to Fall 2022
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Novartis, NJ
Data Strategy Team, Summer 2020
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USC Information Sciences Institute, Marina del Rey, CA
Research Assistant, Fall 2019 and Fall 2020
Honors & Awards
- 1st Place, ARAthon Hackathon (rural coverage planner, with Ishan Bansal and David Alcantara), AgWireless ’26
- Best Poster Runner-Up, AgWireless ’26
- Outstanding Innovation Award (18/160), Nokia Bell Labs Global Student Program
- Finalist, Qualcomm Innovation Fellowship
- N2Women Young Researcher Fellowship, SenSys 2024
- Best Paper Award (Health Day), KDD 2022
Service
Conference Program Committee and Reviewing
- IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2025
- International Conference on Advanced Data Mining and Applications (ADMA) 2024
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023
- International Conference on Internet of Things Design and Implementation (IoTDI) 2023
- International Conference on Internet of Things (CIoT) 2023
- Computer Science and Application Engineering (CSAE) 2022
Journal Reviewing
Teaching
Teaching Assistant, University of Virginia School of Data Science
- DS 5110: Big Data Systems (Fall)
- DS 5100: Programming for Data Science (Spring)
- Data Science Systems (Fall)