Research
This page is a collection of all of the research projects I have been involved with:
Searching for GEMS: Confirmation of Two New Gaseous Giant Exoplanets
Research area: Astronomy
Advisors: Prof. Paul Robertson, Dr. Te Han, and Dr. Shubham Kanodia
Summary: I confirmed the exoplanet candidate systems TOI-5916 b and TOI-6158 b through joint modeling of transit photometry and radial velocity data from TESS, HPF, and ground-based observations. Using the exoplanet and PyMC3 frameworks, I performed Bayesian inference with Markov-Chain Monte Carlo sampling to determine system parameters and investigate giant planet formation around M-dwarf stars. I also led the preparation of a manuscript submitted to AAS journals, presenting the properties of these systems and their broader implications for understanding giant exoplanet formation around low-mass stars.
DoE SULI @ Brookhaven National Lab: Replacing Legacy Magnet Design Code, Fall 2025 & Spring 2026
Research area: Accelerator Physics
Advisors: Dr. Febin Kurian and Dr. Ramesh Gupta
Summary: I am developing Python-based software to replace legacy Fortran tools used in the design of next-generation direct-wind accelerator magnets, including capabilities for field-harmonic optimization, magnetic-field modeling, and full coil-geometry generation. I am also building a user-friendly interface for the program so that scientists at Brookhaven National Laboratory can more easily design direct-wind magnets for future colliders, including the Electron-Ion Collider currently under construction at Brookhaven. I presented a prototype of this code at a poster session to an audience of peers and faculty.
Investigating the Hypothetical Heavy Top-Quark Partner Particle (T)
Research area: Particle Physics
Advisor: Prof. Daniel Whiteson
Summary: I analyzed simulated proton–proton collision events to investigate the production and decay channels of a hypothetical heavy top-quark partner (T), contributing to searches for physics beyond the Standard Model. Using MadGraph, Pythia, and Delphes, I generated simulated collider datasets and then performed analysis in Python and ROOT to isolate signal events from background and reconstruct invariant mass distributions. This work was partially conducted at CERN in Geneva, Switzerland, where I attended summer lectures in particle physics and carried out research on-site with the UC Irvine ATLAS group.