Ellen Zhong

Ellen Zhong is an Assistant Professor of Computer Science at Princeton University, where she leads the E.Z. Lab for Molecular Machine Learning. Her research focuses on developing methods for image analysis and 3D reconstruction to enable new discoveries in protein structure, dynamics, and interactions. Zhong obtained her Ph.D. from MIT in 2022, where she developed deep learning methods for 3D reconstruction of dynamic protein structures from cryo-EM images. She interned at DeepMind on the AlphaFold team and previously worked at D. E. Shaw Research on molecular dynamics algorithms for drug discovery. For more information, visit her group website: https://ezlab.princeton.edu.

Ellen D. Zhong is a researcher at Princeton University with expertise in machine learning, structural biology, cryo-EM, and computational biology. Her work focuses on developing advanced computational methods to predict biomolecular structures and analyze cryo-EM data. Zhong's research includes the application of neural networks and generative models to reconstruct 3D protein structures from cryo-EM images and to understand conformational heterogeneity in biological systems. Her contributions span both theoretical and practical advancements in the field, with a particular emphasis on improving the accuracy and efficiency of structure prediction and data analysis in structural biology.