Hi there! I'm Tommy (Long-Chen)
Research Initiatives
Automated Worm Detection and Cross-Camera Reproducibility (Johns Hopkins University, 2025–Present)
I am currently leading a computer vision project focused on automated worm detection and counting in Caenorhabditis elegans imaging datasets, as part of a broader effort to standardize fecundity and behavioral quantification across multiple imaging systems. The goal of this project is to build the most comprehensive cross-camera worm analysis model to date, addressing a key challenge in biological imaging: the lack of reproducibility when models trained on one imaging setup fail to generalize to others.
Automated Dermal–Epidermal Junction (DEJ) Detection in OCT Imaging (Johns Hopkins Medicine, 2024)
At Johns Hopkins Department of Dermatology under Dr. Luis Garza, I lead the development of an automated image-processing pipeline to trace the dermal–epidermal junction (DEJ) in in vivo Optical Coherence Tomography (OCT) images. This project supports an FDA-approved cellular therapy trial focused on regenerating volar skin at amputee stump sites, aiming to restore regional tissue identity through fibroblast–keratinocyte signaling modulation.
ChatGPT in Clinical Informatics – Keeping Clinicians Informed (Columbia University, 2023)
During my research with Dr. Chunhua Weng at Columbia University’s Department of Biomedical Informatics, I investigated the potential of large language models (LLMs) such as ChatGPT to assist clinicians in synthesizing and interpreting medical literature. The project, titled “ChatGPT: Keeping Clinicians Informed,” explored whether generative models could help medical professionals efficiently summarize new research articles to support evidence-based decision-making.