Description: The personal and research blog of Brandon L. Morris
I am a software engineer currently located in the Phoenix. My areas of experience and interest lie in machine learning, data pipelines, and distributed systems.
Deep learning is an incredibly powerful and popular machine learning technique, but it is not without its own set of limitations . I’m interested in understanding these shortcomings and devising novel approaches to overcome them. This includes working on problems like adversarial examples and expanding new architectures like capsule networks . Ultimately, I want to make deep learning more robust, more practical, and more useful within our society. Feel free to email me if you’d like to discuss!
In 2018 I received my undergraduate degrees in Software Engineering and Applied Mathematics from Auburn University, where I also conducted research under Dr. Anh Nguyen studying deep learning robustness against adversarial attacks . Before that, I researched High Performance Computing methods under Dr. Anthony Skjellum and GPU-accelerated chemistry simulations under Dr. Jeffrey Overbey and Dr. Orlando Acevedo.