👨💻 About Me
Hi, I’m Lilin Wang, a second-year Master’s student in Electrical Engineering at the University of Pennsylvania.
I’m a Research Assistant at the Perelman School of Medicine, advised by Prof. Zhi Huang in the Huang Lab. My current work centers on TissueLab [website] [
I received my B.Eng. in Data Science and Big Data Technology, jointly awarded by the University of Liverpool and Xi’an Jiaotong-Liverpool University.
My research focuses on AI for healthcare, with particular interest in medical image analysis and large language models (LLMs) for clinical and psychological applications. I’m interested in how intelligent systems can connect human expertise, data, and computation to support diagnosis, discovery, and clinical decision-making.
I hope to contribute to building intelligent systems that help make healthcare more accessible, reliable, and human-centered. Always happy to connect and collaborate! 😊
🔥 News
- 2025.09: 📝 New paper “A co-evolving agentic AI system for medical imaging analysis” is now under review!
- 2025.06: 🚀 Started working as a Research Assistant at the Perelman School of Medicine, University of Pennsylvania, contributing to TissueLab project!
- 2025.01: 🎉 Our paper “A Survey of Large Language Models in Psychotherapy” has been accepted to Findings of ACL 2025!
- 2024.10: 📄 Our paper “Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection” accepted to IEEE UIC 2024!
- 2024.09: 🎓 Started my Master’s program in Electrical Engineering at the University of Pennsylvania!
📝 Publications
A Survey of Large Language Models in Psychotherapy: Current Landscape and Future Directions
Hongbin Na*, Yining Hua*, Zimu Wang*, Tao Shen, Beibei Yu, Lilin Wang, Wei Wang, John Torous, Ling Chen (* Equal contribution)
Findings of ACL 2025, 2025
Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection
Jianfei He, Lilin Wang, Jiaying Wang, Zhenyu Liu, Hongbin Na, Zimu Wang, Wei Wang, Qi Chen
IEEE UIC 2024, 2024
📖 Education
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2024 - 2026, MSE in Electrical Engineering, University of Pennsylvania
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2020 - 2024, BEng in Data Science and Big Data Technology, University of Liverpool (First Class Honours)
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2020 - 2024, BEng in Data Science and Big Data Technology, Xi’an Jiaotong-Liverpool University (First Class Honours)
🏆 Honors and Awards
- 2024 National AI Application Scenario Innovation Challenge (CICAS 2024) — Grand Prize
- 2023-2024 XJTLU Excellence Academic Award — Top 5%
- 2021-2022 XJTLU Achievement Academic Award — Top 10%
💻 Internships
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2023.01 - 2023.04, Data Analyst Intern, ByteDance LTD.
Reduced inquiry time through database optimization and created 10+ data visualization panels -
2022.07 - 2022.09, Management Consulting Intern, Deloitte Consulting (Shanghai) Co., LTD.
Engineered a logistics data platform to unify node information, structure interfaces, and enable real-time operational visibility. -
2022.05 - 2022.07, Data Analyst Intern, Suzhou Dayu Network Technology Co., LTD.
Streamlined data collection for 200+ brands from TikTok, analyzing 1M+ data points -
2021.07 - 2021.09, Data Analyst Intern, PatSnap Co., LTD.
Maintained and updated SQL databases supporting the ‘Synapse’ Drug Intelligence platform
More Than Work
When I’m coding or reading papers, I’m usually with Xiaoman Xia — my furry little boss. She sits on my keyboard, supervises every Git commit, and makes sure I never get overwhelmed. 🐱💻
I love Lana Del Rey’s music and the aesthetic of her work. I’ve been experimenting with capturing similar vibes in my own photos and videos.
I’ve also gotten into film photography lately. Still learning, but I love the process and I’m always looking to get better at it.
💬 What Others Say
More Coming Soon