This project will investigate the growth dynamic of bacterial biofilm with lattice light-sheet microscopy (LLSM), which is able to resolve individual cells within thick 3D biofilms in a non-invasive manner.
This project aims to explore how colonial policies of urban planning and racial segregation contribute to current-day urban air pollution in Dakar, Senegal.
This project will focus on predicting the interaction sites of host-host proteins using deep learning, so that scientists can better understand how these proteins interact for cell development.
Presidential Fellows in Data Science Erfan Pakdamanian and Nauder Namaky aim to develop a system that optimally alerts drivers when an autonomous vehicle algorithm fails. They plan to develop a deep neural learning algorithm that considers external hazards in conjunction with drivers’ cognitive states.
