B.S. Mechanical Engineering MIT 2015
Nathan obtained a Bachelor's degree from the Massachusetts Institute of Technology in 2015, majoring in Mechanical Engineering. During his work at MIT, he focused on 3D printing at multiple scales, including microscale 3D printing of single biological cells, and large scale 3D printing of buildings. Nathan is currently pursuing a PhD degree at Stanford University, focusing on how machine learning can be applied to autonomous vehicle control.
In order to make autonomous driving safe for a variety of vehicles, road conditions, and vehicles conditions, vehicles must be able to adapt to changes as a changing vehicle condition, changing road conditions, and other phenomena such as a blown tire. In order to increase safety of autonomous vehicles on the road, it is important to have a flexible framework controlling the vehicle that is capable of learning and adapting to external and internal changes of the vehicle. Nathan is working to develop flexible controllers capable of learning model changes and adapting for them to increase vehicle safety in uncertain conditions and improve vehicle performance.