Kenneth completed a master’s degree in Statistics at UC Davis and his bachelor’s degree in Mathematics and Computer Science at Brigham Young University-Hawaii. Currently, he is pursuing a Ph.D. in Electrical and Computer Engineering at Purdue University. He believes that artificial general intelligence comes when machines can learn and reason with complex networks of causal relationships perceived by various senses in accomplishing their goals. His research interests lie in causal inference and machine learning. In his spare time, he likes reading books, cooking, hiking and traveling.
Ph.D. in Electrical and Computer Engineering, 2026
M.S. in Statistics, 2021
University of California, Davis
B.S. in Mathematics, Computer Science, 2018
Brigham Young University-Hawaii