👨💻 About Me
Hi, I’m Lilin Wang, a second-year Master’s student in Electrical Engineering at the University of Pennsylvania. I will be joining the University of Florida in Fall 2026 as a Ph.D. student in Medical Sciences, advised by Prof. Yonghui Wu.
I’m currently 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] [], a clinical system for medical imaging analysis to support diagnosis and patient care.
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 interests lie in medical research and healthcare, with a particular focus on medical imaging and clinical applications. I’m interested in how computational tools can connect human expertise, data, and analysis to support clinical diagnosis, improve patient outcomes, and assist medical decision-making.
I hope to contribute to making healthcare more accessible, reliable, and human-centered. Always happy to connect and collaborate! 😊
🔥 News
- 2026.04: 🎓 Excited to share that I will be joining the University of Florida in Fall 2026 as a Ph.D. student in Medical Sciences, advised by Prof. Yonghui Wu!
- 2025.09: 📝 New paper on 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 the TissueLab project!
- 2025.01: 🎉 Our paper has been accepted to Findings of ACL 2025!
- 2024.10: 📄 Our paper 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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2026 - (incoming), Ph.D. in Medical Sciences, University of Florida
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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
- 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.



