About Me

I am a member of the technical staff at MIT, using computational methods to perform applied physics research. Before joining MIT, I was a Ph.D. candidate in Caltech's astrophysics department, working with Andrew Howard. For my thesis, I used measurements of stellar velocities and probabilistic methods to discover and study extrasolar planets.

Before joining Caltech, I was a Fulbright Research Scholar at the Heidelberg Institute for Theoretical Studies, where I used numerical simulations to study the effects of magnetic fields on galaxy formation. I obtained my B.S. at Haverford College.

Outside of research, I enjoy reading, biking, attending live music and comedy, and learning new things!

Research Interests

My thesis goal was to use probabilistic methods and radial velocity surveys to perform a rigorous census of nearby exoplanets. Here is some of my work, as well as personal projects outside of academia.

The California Legacy Survey

The first in a series of papers on planet occurrence, presenting a systematically generated exoplanet catalog.

Rosenthal et al. 2021

On The Shoulders of (Some) Giants

A probabilistic analysis of the relationship between inner small planets and outer gas giants.

Rosenthal et al. 2022

Lonely, Poor, and Eccentric

Novel insights into the dynamics and formation history of giant planets.

Rosenthal et al. 2024

RecurrentRav

A recurrent neural network, built with TensorFlow and trained on pre-medieval Jewish texts, that can write fake law codes. Submitted to the Powered by Sefaria open source challenge.

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