I am a postdoctoral researcher specializing in AI/ML innovation and its application to medicine, focusing on vision-language foundation models for pathology and medical physics images. My research topics include multimodal data fusion, whole slide imaging, clinical text analysis, and genomic data integration using advanced deep learning methodologies such as transformers and contrastive learning models. I aim to develop AI-driven medical diagnostics and personalized treatment strategies through novel model development and interdisciplinary collaboration.

I received my Ph.D. in Mathematics from Georgia State University, where I specialized in medical image analysis and cancer diagnostics. My doctoral work emphasized multimodal data fusion for survival prediction and treatment response modeling. I have collaborated with leading medical institutions and contributed to high-impact publications in computational pathology.

Prior to my Ph.D., I earned a Master’s degree in Computer Engineering and another in Mathematics, both of which laid the foundation for my interdisciplinary research approach. My goal is to further advance the application of AI technologies in medicine and healthcare through continued research and collaboration.

The pronunciation of my name is similar to /li tʃiɑŋ/. In Chinese, it is 李强.