Cosmology & Data Science

I am a cosmologist and assistant professor at the Institute for Astronomy (IfA) at the University of Hawai'i. My research lies at the intersection of data analysis and theory. I am interested in a wide range of topics, including large scale structure, gravitational lensing, the cosmic microwave background, cross-survey analyses, and statistical methods. A particular focus of my work is developing new techniques to extract cosmological information from astronomical surveys.

Prior to joining the IfA, I was a Kavli Senior Fellow at the University of Cambridge and a postdoc at the University of Pennsylvania. I completed my PhD at the University of Chicago under the supervision of Prof. Scott Dodelson.










Research

My publications can be found here.

Galaxy surveys x CMB lensing

By cross-correlating galaxy surveys with gravitational lensing of the CMB we can improve the precision and robustness of cosmological constraints.

Galaxy clusters

Galaxy clusters are potentially powerful cosmological probes, as well as fascinating astrophysical objects.

Baryons and the Sunyaev Zel'dovich effect

The SZ effect provides a tool to measure the distribution and thermal state of electrons throughout the Universe.

Indirect detection of dark matter

It may be possible to learn about the properties of dark matter by detecting photons produced when a dark matter particle meets its antiparticle..

Cosmic tensions

The increasing size of astronomical and cosmological datasets calls for novel approaches to data analysis. Several recent cosmological measurements are in apparent disagreement. Are these 'tensions' due to new physics or poorly understood systematic uncertainties?

Statistics and machine learning

Advanced statistical and machine learning methods offer the possibility of extracting more information from our data.


Press

Code

I develop code on GitHub (although some repositories are private) here.