Summary
Yichen He is a postdoctoral researcher with 10 years of experience at the intersection of AI, computer vision, computer graphics and biodiversity science, currently based in London. He builds high-throughput 3D segmentation and deep learning pipelines to extract fine-grained morphological traits from micro-CT scans, accelerating specimen measurement for evolutionary and ecological research. His work spans academia and museums, including leading projects at the Natural History Museum and Okinawa Institute of Science and Technology, and collaborating with multidisciplinary teams to translate AI methods for biologists. He has applied self- and semi-supervised learning on cloud HPC, contributed to toolchains for VR and 3D visualization, and led a review on AI in evolutionary research. Known for combining practical software engineering (PyTorch, OpenCV, AWS) with domain-focused problem framing, he often uncovers biological insights from latent model features rather than just maximizing accuracy.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science and animal and plant science, Doctor of Philosophy - PhD Computer Science and animal and plant science at The University of Sheffield
Bachelor Software Engineering Software Engineering, Bachelor Software Engineering Software Engineering at South China University of Technology
Chinese, Chinese, English, Japanese