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Graduate Research Associate

Photogrammetric Computer Vision Lab, OSU

Working under the supervision of Prof. Alper Yilmaz on interdisciplinary AI research, including Medical AI and Computer Vision.

AI Research Intern

Smart Dynamics

Trained and optimized real-world physics models using large-scale multimodal vision datasets.

• Increased threat detection accuracy by 14% (from 84.3% to 98.1%) while reducing inference latency.

Research Associate

Evolving Machine Intelligence Lab, SUSTech

Participated in design & implementation of EvoX: a high-performance evolutionary computation framework using JAX’s automatic differentiation and GPU/TPU acceleration. Developed distributed co-evolution algorithms on large-scale neuroevolution tasks.

• EvoX framework gained over 700 stars on GitHub.

Ph.D.

The Ohio State University

Electrical and Computer Engineering

• Interdisciplinary AI
• Medical AI
• Computer Vision

Exchange Program

The Hong Kong Polytechnic University

Machine Learning

B.Eng.

Southern University of Science and Technology

Computer Science and Technology

• Medical Artificial Intelligence
• Deep Learning
• Software Engineering
• Operating System
• Computer Security
• Computer Networks
• Data Mining

University Motto Scholarship (Top 1%)

SUSTech

National Scholarship Nomination (Top 2%)

Silver Medal, International Genetically Engineered Machine Competition (iGEM)

iGEM Foundation

First Prize, China International Collegiate "Internet+" Competition

SUSTech

Outstanding Youth in Guangdong Province

Guangdong Province