My name is Adam Field, and I'm an undergraduate at WPI studying physics. I aspire to be an astrophysics researcher. I currently work on ShearNet.

I focus on computational physics in my research, with a heavy emphasis on computational cosmology.

• I'm actively writing a research paper with my advisor Sayan Saha on ShearNet, a neural network based galaxy shear estimator written in JAX/Flax. This project has taught me a lot about not only deep learning techniques in physics, but also statistics and quantifying estimator bias.

• Previously I also worked with a researcher here at our HPC cluster, Dr. Jackson Henry, on computational thermodynamics. We were focusing on repoducing results from the paper here https://arxiv.org/pdf/2206.13160 and extending their work to zero-sum games. We were trying to understand alternative characteristics of entropy on the one-dimensional network topologies. My main contributions was gpu-accelerated code for real time system evolution.

I really enjoy physics and coding! I do a lot of projects to try and unite the two.
Some of my projects are:

• My personal website where I house a blog and a dynamic resume coded in Three.js.
• A physics simulations website where I code physics simulations using webGL.
• A website for my computational physics independent study where I code FEM and FVM pipelines in python!
• Modeling a Chaotic Pendulum where I made a simulation of a double pendulum, software to track LEDs on a real double pundulum, then compared the two results.

I work as a Peer Learning Assistant (undergraduate TA) for the WPI Physics Department where I enjoy supporting students through introductory physics classes. I attend studio style lectures, hold office hours, and grade! Recently I have even been running lectures, I like to focus on using open-source physics simulations to let students guide themselves to an understanding. See physlets!

I play soccer, run, and code for fun. I really love backpacking and playing ultimate frisbee.