Contact me: [email protected].
Hello!
I'm a fourth-year undergraduate at Rutgers University studying Physics and Computer Science. My primary research interest is Martian paleomagnetism and impact processes. I also like rock climbing :)
Here are summaries/links to my repositories:
RedPlanet (website) — an open-source Python library for working with various Mars geophysical datasets. We aim to streamline data analysis/visualization workflows for beginners and experts alike, so you spend less time hunting/wrangling data and more time doing cool science! KEY FEATURES:
- Crater database which unifies [1] comprehensive database of craters D>=1km, [2] crater ages from both Hartmann and Neukum isochron-fitting, and [3] official/up-to-date IAU crater names.
- Digital elevation models up to 200m resolution with memory-mapping, parallelization, and chunking for high-performance.
- Mohorovičić discontinuity (crust-mantle interface) models and derived crustal thickness maps — models are parameterized by north/south crustal density, reference interior models, and crustal thickness beneath the InSight lander with a total of ~20,000 valid combinations.
- Magnetic source depth data from spherical harmonic inversions.
- Heat flow and Curie depth calculations from gamma-ray spectroscopy (GRS) data.
- MAVEN magnetometer data, filtered for nighttime and low-altitude (COMING SOON).
The website/demo should be done by April 2025, but the package is available for install right away and the API is stable with new features coming out regularly!
Mars Geophysics — Rutgers Dept. Planetary Sciences
- Investigating the depth/formation/timing of crustal magnetic sources and implications for history of the Martian dynamo via impact craters. Advised by Professor Lujendra Ojha.
Offshore Wind Farms — NJ Economic Development Authority
- Fellowship studying offshore wind farms with Synthetic-Aperture Radar (SAR) data from Sentinel-1 satellites. Advised by Professor Roger Wang.
High Energy Physics, Muon Scattering — Rutgers Dept. Physics/Astronomy + Paul Scherrer Institute
- Performing analysis/software development for the MUon Scattering Experiment (MUSE) group to investigate the proton radius puzzle. My primary contribution was developing a fast calorimeter simulation framework with Generative Adversarial Networks. Advised by Professor Ronald Gilman.
Atmospheric/Solar Physics — NJIT Dept. Solar Physics
- Analyzed cloud-radiation feedback systems during hurricanes with new BBSO Earthshine solar reflectance data. Advised by Professor Andrew Gerrard.
Physics Simulations with VPython
- Interactive simulations of the N-body problem, Rutherford scattering, magnetic vector fields, etc.
- Analyzing Solar System orbits using NASA’s SPICE library.
Searching for Exoplanets with Lightkurve
- Analyzing Kepler/TESS time series data for star brightness in search of transits.
Asteroid Spectra Classification with Machine Learning
- Training multi-class Support Vector Machines (SVMs) to classify asteroid spectra.
Integrated Water Hardness Meter
- MVP for a device that homeowners can install and use to monitor water hardness trends in pipes.
Learn Data Analysis with Python
- We run a cluster for the Rutgers Physics department. This is one of our Spring 2023 workshops on learning basic data analysis with Python.