May the Force Be With You! My Name is Ryan Leigh
I am a computer science major and physics minor at Arizona State University with a concentration in cybersecurity. I conduct research related to physics informed neural networks and specifically into the efficacy of these networks in augmenting CFD. One of my main out of school activities is the Sun Devil Motorsports - Formula SAE team I participate in. I am on the Data Acquisition team where we write code for electronics on the car, collect data, and visualize for our engineers.
My hobbies include working out, playing tennis, basketball, video games, and all of which are better when with friends. I love to watch sports such as baseball, football, and basketball. Forks Up!!
Employment Experience
Residential Assistant
August 2024 - Present
I am currently working as a residential assistant at ASU, properly named community assistant but RA is more recognizable to people. As a RA I help facilitate relationships amongst residents and host events up to around 30-40 people at a time.
Physics-Informed Neural Network Researcher
Summer 2024
This summer I participated in a research program by ASU called SURI where we were brought on for the summer to do research with a professor whose lab is running a project we applied for. I applied for one with Dr. Leslie Hwang where we conducted research into physics-informed neural networks. One of the main goals is to prove the efficacy of these models and preferably implemented into CFD as an augmentation of the potential computation. I learned a whole lot from this summer and I would argue that the best part of this research was the learning and freedom I had to consume as much information as possible.
U.S. Geological Survey (USGS): Data Science Research Intern
August 2022-May 2023
My time as a research intern at the USGS, we worked on a solution to develop a cloud-based 3D basemap of populated areas and surrounding wildland terrain to enhance the decision-making process in wildfire management. The model was designed to use GIS, XR, AI, and other advanced digital technologies to create a more intuitive and visual interface for fire professionals and the public.
My particular role within the research program was to help develop an experimental convolutional neural network to help identify the likelihood of fire by a series a crowd-sourced images of flora in the local area. This internship allowed me to learn quite a bit about machine learning and CNNs in general. As well I learned the dynamics of the Agile framework and how it is important to stay flexible within a project that switches direction continuously.