Adam Field
Physics Undergraduate
Computational Astrophysics Researcher
About Me
I am a physics undergraduate at WPI specializing in computational astrophysics, with expertise in neural network-based galaxy shear estimation and large-scale astronomical data processing. I'm an active contributor to open-source astronomical software and enjoy creating physics education content. As an Eagle Scout, I also love rock climbing, soccer, coding personal projects, and the occasional video game in my free time.
Technical Skills
Programming: Python, JAX/Flax, JavaScript, Java
Scientific Computing: GPU Computing, Numerical Methods, HPC Clusters, SLURM
Data Analysis: Astronomical FITS processing, Machine Learning, Statistical modeling
Development Tools: Git/GitHub, Linux (Ubuntu), LaTeX
Visualization: Matplotlib, WebGL, Three.js, OpenCV
Professional Memberships: American Physical Society (APS), Society of Physics Students (SPS)
Open Source: ShearNet ML codebase (MIT license), 12+ GitHub repositories with 300+ commits
Experience
Currently a Research Assistant at Northeastern University developing JAX-accelerated neural networks for galaxy shear estimation, processing 10,000+ observations per minute. I'm also conducting Quantum Games Research at WPI, exploring thermodynamic strategy evolution through zero-sum game simulations and cellular automaton.
Previously worked as a Research Developer at Harvard Black Hole Initiative creating real-time gravitational lensing algorithms and contributing to the iOS app "Black Hole Vision." I also conducted independent weak gravitational lensing research, processing SuperBIT telescope data and studying current methodologies.
Projects
Current work includes developing the ShearNet neural network codebase (MIT license) and implementing deconvolution neural networks for metacalibration. I've created interactive physics simulations for education, analyzed chaotic double pendulum systems using computer vision, and delivered a capstone lecture on differential geometry applications in physics. I also maintain active science communication through YouTube videos and technical blogs.
"Before I came here I was confused about this subject. Having listened to your lecture I am still confused. But on a higher level."
- Enrico Fermi