GenAI development on conversational chatbot
I worked as a GenAI developer and helped develop a LLM-driven conversational agent to simulate patient-doctor encounters for medical students to practice and refine their clinical communication skills.
Projects
Data analysis on single-cell landscape of Follicular Lymphoma
I built an analysis pipeline for multimodel single-cell sequencing data for Follicular Lymphoma, analyzed the results, and published a paper on a peer-reviewed journal.
Data analysis on heterogeneity of breast cancer cell line
I built an analysis pipeline for Fludigm single-cell sequencing data, analyzed the results, and published a paper on a peer-reviewed journal.
Cell segmentation on spatial transcriptome IF images
I benchmarked deep-learning-based methods (Cellpose, Mesmer) on spatial transcriptome IF images and set a good foundation for downstream analysis.
Temporomandibular joint osteoarthritis image segmentation
I developed a deep-learning-based approach based on U-Net as a noninvasive technique to provide information about bony changes and disease changing in CT images for temporomandibular joint osteoarthritis.
Brain glioma MRI image segmentation
I designed a deep-learning-based approach based on U-Net for automatic brain glioma segmentation of multimodal MRI scans with high efficiency and accuracy and achieved the 4th place in the 2018 Multimodal Brain Tumor Segmentation Challenge.