Nathaniel Hamilton, PhD

Nathaniel Hamilton, PhD has a diverse background in research and development in the field of autonomous systems. Nathaniel is currently an AI Scientist at Parallax Advanced Research, where they collaborate with other scientists and program managers to conduct basic and applied research related to autonomous systems. Their responsibilities include designing research objectives, implementing code for experiments, analyzing data, reporting results, and assisting in the development of new research directions and funding proposals.

Prior to their current role, Nathaniel worked as a Research Assistant at the Institute for Software Integrated Systems from 2017 to 2022. In this position, they contributed to various research projects.

Nathaniel also gained industry experience through summer internships at Wright State University's Autonomy Technology Research Center. In 2021, they completed a project on run time assurance and learning-enabled controllers trained via reinforcement learning. In 2020, they worked on a project involving Opposition-Based Learning and its applications in Safe Reinforcement Learning. In 2019, their project focused on Deep Reinforcement Learning and Transfer Learning, resulting in a write-up, poster, and publication.

Earlier in their career, Nathaniel served as a Student Worker at Lipscomb University's IT Help Desk from 2015 to 2017, and as a Summer Research Student at the University of Arizona in 2016. At the University of Arizona, they researched and developed a controller for the CAT Vehicle, utilizing a laser sensor to determine the car's velocity in stop-and-go traffic situations.

Overall, Nathaniel Hamilton, PhD has extensive experience in autonomous systems research and has made significant contributions to multiple projects throughout their career.

Nathaniel Hamilton, PhD, has an extensive education history in the field of Electrical Engineering. Nathaniel first obtained a Bachelor of Science (B.S.) degree in Electrical and Computer Engineering from Lipscomb University, graduating in 2017. Nathaniel then pursued further education at Vanderbilt University, earning a Master's degree in Electrical Engineering in 2020. Nathaniel continued their studies at Vanderbilt and successfully completed a Doctor of Philosophy (PhD) in Electrical Engineering in 2022.

In addition to their academic degrees, Nathaniel has also acquired several certifications. Nathaniel obtained a Doctor of Philosophy certification from Vanderbilt University in August 2022. Nathaniel also holds a Master of Science in Electrical Engineering certification from Vanderbilt University, obtained in May 2020. Furthermore, Nathaniel has a certification in Machine Learning from Coursera Course Certificates, which they obtained in February 2019.