Fande Kong is an Applied Scientist and Machine Learning Engineer with extensive experience in scientific computing and high-performance software development. They began their career as a Software Developer Intern at Argonne National Laboratory in 2015 and later worked as a Research Assistant at the University of Colorado Boulder, where they implemented high-performance computing software and tackled complex engineering problems. Fande served as a Computational Scientist at Idaho National Laboratory, developing the MOOSE framework and exploring advanced multiphysics simulations. Currently, they work at Amazon as a Software Development Engineer and Applied Scientist, focusing on machine learning solutions. Fande holds a Ph.D. in Computer Science from the University of Colorado Boulder, where they graduated with a 3.9 GPA.
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