About Me

I am a first-year PhD student in Electrical and Systems Engineering at the University of Pennsylvania, working under the guidance of Professor Zhi Huang.

My research focuses on Medical AI, developing innovative algorithms that leverage computer vision and machine learning to enhance clinical diagnosis and improve healthcare outcomes.

Prior to my doctoral studies, I earned my Master's degree in Electrical Engineering from UPenn. During my master's program, I developed a strong foundation in machine learning and medical image analysis, which led me to pursue my current research direction in AI-assisted medical diagnostics.

Research Interests

  • Medical Image Analysis
  • Vision-Language Models
  • Knowledge Enhancement
  • Human-AI Collaboration
  • Weakly Supervised Learning
  • Feature Selection
Jialu Yao
🎓 UPenn
🔬 Medical AI

Latest News

Paper Jan 2026

Our paper "Melan-Dx" has been accepted to NPJ Digital Medicine!

New Aug 2025

Started PhD program in ESE at UPenn, working with Prof. Zhi Huang.

Milestone May 2025

Graduated with M.S.E. in Electrical Engineering from UPenn.

Publications

2026
NPJ Digital Medicine

Melan-Dx: A knowledge-enhanced vision-language framework improves differential diagnosis of melanocytic neoplasm pathology

Jialu Yao, Songhao Li, Peixian Liang, Xiaowei Xu, David Elder, Zhi Huang

📄 Paper 💻 Code

Research Experience

🧬
July 2024 - Present UPenn, Philadelphia

Melan-Dx: Vision-Knowledge Enhancement for Melanocytic Neoplasm Pathology

Developed Melan-Dx, a knowledge-enhanced AI framework that improves differential diagnosis of melanocytic neoplasm pathology through vision-knowledge retrieval.

Medical Imaging Vision-Language Deep Learning Pathology AI

Skills & Tools

Programming Languages

Python
MATLAB
C++
Java
JavaScript
SQL

Tools & Technologies

🐍 PyTorch
📊 MATLAB
💻 VS Code
🔧 PyCharm
📝 LaTeX
🔌 Vivado
🐙 Git
🐳 Docker

Get In Touch

I'm always interested in discussing research opportunities, collaborations, or just having a conversation about AI and medical imaging.

Feel free to reach out through any of the channels below!

📧 Email jialuyao@seas.upenn.edu 💼 LinkedIn Jialu Yao
📍 Location Philadelphia, PA