Anne Dattilo

I'm interested in population studies of exoplanets, particularly in sub-Neptunes. Click the above tabs to read about specific projects I have worked on.

A simple methodology to compute occurrence rates for Kepler data. We computed "benchmark" occurrence measurements, including the hot Jupiter occurrence rate, the radius distribution, and the period distribution.

We use population synthesis techniques to test if the observed (and intrinsic) radius cliff (3-4Re) can be reproduced by atmospheric mass loss processes alone.

Exoplanet identification is a time-consuming and imperfect process. Using machine learning speeds up this process greatly. I built a convolutional neural network Astronet-K2 to identify planet candidates in K2 data. It successfully identified 2 planet candidates that were further confirmed.