Chi Yung Chim

Chi Yung Chim has worked in various roles related to data science and research since 2009. In 2017, they began working as a Data Scientist at CureMetrix, where they conducted research in deep learning frameworks for analyzing mammograms, prepared data for training deep learning algorithms, and conducted experiments with neural network architectures and different data combinations. Prior to this, they worked at the University of California, San Diego, where they were a Staff Research Associate, Graduate Student Researcher, and Teaching Assistant. As a Staff Research Associate, they developed the theory for the damping of m=2 diocotron modes in a pure electron plasma, driven by a dilute transport flux of electrons past the resonant layer of the mode, and created numerical codes to simulate the process. As a Graduate Student Researcher, they worked together with theorists and experimentalists to develop theory models to explain plasma physics phenomena observed in the research group, assisted with numerical simulations. As a Teaching Assistant, they led laboratory sections and graded lab reports in non-major mechanics and waves courses, explained homework solutions in problem sections of non-major mechanics course, and answered questions regarding homework assignments in junior mathematical physics course, covering analytical problems and numerical problems in Mathematica.

Chi Yung Chim attended The Chinese University of Hong Kong from 2005 to 2009, where they obtained a Bachelor of Science (B.Sc.) in Physics. In 2008, they attended University of California, Berkeley for a year of study in Physics. From 2009 to 2016, they pursued a Doctor of Philosophy (Ph.D.) in Physics at UC San Diego.