Wei Wei
Wei Wei Graduate Student at Stanford University
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Evgeny Shlevkov
Evgeny Shlevkov, PhD Research Scientist at Biogen Inc.
Ann Goldstein
Ann Goldstein, PhD Scientific editor, Cell
Permanent deconstruction of intracellular primary cilia in differentiating granule cell neurons.
Ott, Carolyn M, Sandii Constable, Tri M Nguyen, Kevin White, Wei-Chung Allen Lee, Jennifer Lippincott-Schwartz, and Saikat Mukhopadhyay. 2024. “Permanent Deconstruction of Intracellular Primary Cilia in Differentiating Granule Cell Neurons.”. The Journal of Cell Biology 223 (10).
Deep learning-based automated analysis of NK cell cytotoxicity in single cancer cell arrays
Moon, D., S. Kim, C. Wang, K. Lee, and J. Doh. 2024. “Deep Learning-Based Automated Analysis of NK Cell Cytotoxicity in Single Cancer Cell Arrays”. BioChip Journal 18.
Molecular insights and clinical implications for the tumor suppressor role of SCFFBXW7 E3 ubiquitin ligase
Qi, Yihang, Abdol-Hossein Rezaeian, Jingchao Wang, Daoyuan Huang, Hong Chen, Hiroyuki Inuzuka, and Wenyi Wei. 2024. “Molecular Insights and Clinical Implications for the Tumor Suppressor Role of SCFFBXW7 E3 Ubiquitin Ligase”. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer 1879 (5): 189140.
Xi Zeng, PhD
Xi joined the Lee lab in August 2022 as a postdoctoral fellow. He obtained his PhD in Biomedical Sciences in 2018 from the Chinese University of Hong Kong and then became a faculty member in the department of Bioinformatics at Huazhong Agricultural University in China. He also worked as a junior...
Andrew Song
August Yue Huang, PhD
August joined the lab in 2017 as a postdoctoral fellow after a two-year postdoctoral training at Matthew Warman’s lab in Boston Children’s Hospital. He received his PhD in Bioinformatics at Peking University in China. His previous work focused on identifying somatic mutations from next-generation...
Lee Laboratory at Boston Children's Hospital
At the Lee Laboratory (PI: Kwonmoo Lee), we're on a mission to unravel the complex molecular and cellular dynamics happening inside living cells. To do this, we're combining the power of AI/machine learning with advanced live cell imaging techniques. By analyzing the phenotypic heterogeneity of cellular morphodynamics and motility under both healthy and pathophysiological conditions, we hope to unlock new insights into how cells function in the body.