About
I'm an undergraduate student at Caltech ('26) studying Astrophysics and Planetary Science, passionate about understanding the universal pathways to planet formation - specifically why other planetary systems look so different from ours! In the pursuit of this question, my research spans from exoplanet detection methods to N-body simulations of resonant planetary systems.
Beyond research, I founded and host Spaced Out Podcast, to help make astronomy accessible to non-STEM audiences through simplifying space concepts and having engaging conversations with leading researchers. I'm also actively involved in STEM outreach and mentoring through various Caltech programs.
Research
N-body Simulations of Resonant Planetary Systems
Developing N-body simulations with REBOUND to study how resonances break over long-term evolution in planetary systems. Building automated pipelines for parallelized simulations and investigating the timescales and mechanisms of resonance disruption, providing theoretical context to observed exoplanet architectures.
Pre-Main Sequence Star Variability Analysis
Analyzing spectral data to investigate the variability of isolated pre-main sequence star V437AUR, focusing on physical processes driving brightness fluctuations. Developing analysis software to interpret spectral data and understand accretion mechanisms in stellar disks. Currently preparing findings for publication.
Circumbinary Planet Detection Methods
Implemented novel detection methods for circumbinary planets to avoid observational plane bias affecting traditional approaches. Developed Python pipelines for large-scale analysis of binary star systems and calculated precession levels to identify planetary evidence. Presented preliminary results at conferences.
Young Stellar Object Dynamics
Investigated dynamics of young stellar object IRAS05506+2414 using multi-epoch data to measure proper motions and constrain stellar properties. Analyzed optical and emission line imaging to explore the Explosive Disintegration Model, contributing new insights into stellar evolution processes.
Spaced Out Podcast
Making astronomy accessible through engaging conversations with leading researchers, featuring professor interviews and breaking down complex topics for non-STEM audiences. I post my episodes on Spotify, YouTube, and Apple Podcasts along with transcripts and blog posts on my Substack! Check it out: www.spacedoutpodcast.com
Projects
Designed and trained a 2D convolutional neural network using light curves and normalized BLS periodogram outputs to identify exoplanet-hosting stars, combining astronomy data analysis with deep learning techniques.
Built an analytical model to estimate atmospheric mass loss from giant planets during planetary collisions to learn more about atmosphere retention during the collision-prone early planetary system stage.
Collaborated on classifying SN 2023usl using the Palomar 60-inch Telescope, using photometric and spectroscopic data to derive key properties including type, redshift, velocity, and distance measurements.