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Title: Deep Representation Learning of Physical Activity and Sleep Patterns During Pregnancy Identifies post-hoc Inferences Associated with Prematurity Authors: Neal G. Ravindra, Camilo Espinosa, [...]

Biography I am a first-year MD student. Prior to Stanford, I completed my BSc in Molecular and Cellular Biology at the University of Illinois at Urbana-Champaign. After undergrad,  I completed a [...]

Biography I graduated from University California of Berkeley (UCB) with a Master in Bioengineering. My study mainly focus on Computational Biology and Bioinformatics. Currently, I’m a [...]

Biography I am pursuing my Master’s degree in computer science with a focus in machine intelligence at ETH Zurich, Switzerland. Currently, I have the privilege to do my Master’s [...]

BIOGRAPHY Feng Xie is currently a postdoctoral scholar in Aghaeepour Lab at Stanford University School of Medicine, and he recently graduated with a joint Ph.D. degree from Duke University and [...]

BIOGRAPHY I did my Ph.D. in Machine Learning Lab at Jeju National University, South Korea. After pursuing master’s in Computer Application, I worked as a software engineer at Atos Global IT [...]

Authors: Davide De Francesco, Jonathan D. Reiss, Jacquelyn Roger, Alice S. Tang, Alan L. Chang, Martin Becker, Thanaphong Phongpreecha, Camilo Espinosa, Susanna Morin, Eloïse Berson, Melan [...]

Bio I am an Immunology PhD student co-advised by Lance Prince and Nima Aghaeepour. In 2017, I received my BS in Molecular Environmental Biology from UC Berkeley. In 2019, I received my MS in [...]

Biography  I am a research data scientist in the Aghaeepour Lab. I graduated from New York University (NYU) with a B.A. in Computer Science. My undergraduate research with Dr. John T. McDevitt [...]

Authors: Martin Becker, Meghan Azad, …, Nima Aghaeepour Summary: TBA Code and data availability: TBA