About Me

In 2020 I graduated with my Ph.D. in Computer Science and Engineering at the University of Nevada, Reno.

My graduate research focused on developing a generalized task learning framework along with an effective task allocation method which enabled collaboration by human-robot and multi-robot teams on complex manipulation tasks. The goal of this research was to allow users to train robots for new tasks while ensuring they can work alongside the robots safely and reliably.

I am currently working as a lead data scientist/engineer at Bently Nevada (a Baker Hughes business), where I have been developing machine learning-based anomaly detection methods as well as building models to identify specific types of faults in machinery diagnostic data.

My interests remain with robotics and research. Specifically, I am interested in continuing my previous efforts to develop methods which aim to enahance collaboration between human-robot teams on various tasks across a wide range of environments.

Previously, I completed by M.S. in Computer Science at University of Nevada, Reno and my B.S. in Applied Mathematics at University of Nevada, Reno. I have also worked as a software engineering intern at Sierra Nevada Corporation (SNC).

Checkout my interview for the Nevada STEM Mentor Network: https://www.youtube.com/watch?v=FMxxUeYAlLo.