Uploaded August 2026 | Updated September 2026, 1 week ago
Computer scientist Jieneng Chen, Engr ’26 (PhD) focuses on artificial intelligence, computer vision, multimodality, embodied AI, and medical AI. His seminal work, TransUNet, integrated transformers (deep learning neural networks that power generative AI models) into biomedical image analysis. He has used AI to tackle health inequities and developed the first AI model capable of diagnosing eight common cancers. Now named an inaugural Young American Scientist by Scientific American, Chen was also a 2025 Siebel Scholar, which recognized early career students in bioengineering fields. He recently moved to Stanford to pursue postdoctoral research.
Thumbnail Image Credit: Jeffery DelViscio
Computer scientist Jieneng Chen, Engr ’26 (PhD) focuses on artificial intelligence, computer vision, multimodality, embodied AI, and medical AI. His seminal work, TransUNet, integrated transformers (deep learning neural networks that power generative AI models) into biomedical image analysis. He has used AI to tackle health inequities and developed the first AI model capable of diagnosing eight common cancers. Now named an inaugural Young American Scientist by Scientific American, Chen was also a 2025 Siebel Scholar, which recognized early career students in bioengineering fields. He recently moved to Stanford to pursue postdoctoral research.
Thumbnail Image Credit: Jeffery DelViscio
