collaborations

I’m a member of Dr. Ashley Villar’s Time Domain Astronomy group at the Center for Astrophysics in Harvard University. Group research focuses on core-collapse supernovae, luminous red novae, and compact binary mergers, employing a combination of observation, simulations, and machine learning methodologies.

The Young Supernova Experiment (YSE) uses the Pan-STARRS telescopes to detect supernovae at very early phases for rapid spectroscopic follow-up. Real-time photometric transient classification and anomaly detection are essential for prioritization of spectroscopic resources. Within YSE, I work on (1) developing these early-time classifiers and (2) jointly encoding YSE data with those from complimentary surveys (such as ZTF).

The LINCC Frameworks team develops analysis software for Rubin data alongside science teams. I previously led a LINCC Frameworks Incubator Program project to develop a stable, user-friendly refactor of Superphot+ that fits light curves 1-2 orders of magnitudes faster than the original version. This updated codebase can keep up with expected Rubin alert rates, therefore enabling same-night prioritization of detected events for follow-up. More details can be found here.

Currently, I am working with Dr. Jared Goldberg at the Center for Computational Astrophysics (CCA) to constrain the properties of Type IIP supernova (SN IIP) progenitors from ZTF light curves. Through JAXtronomy workshops hosted by the CCA, I have also worked to incorporate JAX functionality in my supernova analysis pipelines, enabling rapid parallelization across many CPUs and GPUs.

I am currently collaborating with Dr. Peter Nugent and Dr. Rob Knop from the Lawrence Berkeley National Laboratory to identify supernovae within the DECam Deep Drilling Fields (DDF). This involves differentiating photometry from active galactic nuclei, supernovae, and exotic transients. The DECam DDF dataset is an ideal testing ground for LSST analysis pipelines.