Charles Averill is a Computer Science undergraduate at the University of Texas – Dallas and plans to pursue a doctorate in Machine Learning. Charles has taken an interest in promoting ethics in the ML field, along with the role that ML can play in medicine and human biology. He’s also a proponent of open-source software and contributes to OS codebases.
In addition to his work at ECL, Charles has worked on anomaly detection software for the Oil & Gas industry and Natural Language Processing software for postal offices. His current personal research involves novel techniques to improve backpropagation and training runtimes.
Gumilar, I., Barde, A., Hayati, A. F., Billinghurst, M., Lee, G., Momin, A., ... & Dey, A. (2021, May). Connecting the Brains via Virtual Eyes: Eye-Gaze Directions and Inter-brain Synchrony in VR. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-7).