Hyeonwoo Lee, M.Eng
Scientific Data Engineer
Hyeonwoo joined the Allen Institute for Cell Science in July 2019 and currently serves as Scientific Data Engineer on the Assay Development team. Currently, he is developing a deep learning model to analyze cellular components from fluorescent microscopic image. Hyeonwoo completed his undergraduate education at University of Rochester and received B.S degree in Biomedical Engineering. At University of Rochester, Hyeonwoo worked at Wismueller’s Lab as undergraduate researcher. He studied brain tumor segmentation using machine learning. He then joined Sabuncu’s Lab at Cornell University where he received a M.Eng degree in Biomedical Engineering. His research focused on developing a deep learning model for segmenting anatomical brain regions on MR images. During his master training, he earned extensive experience in machine learning and image processing.