Hello! I'm a 3rd year PhD Student
at the University of Pittsburgh
I use Data Analysis, Machine Learning, and Statistics
to understand the Universe
Research
My broad interests are photometric redshifts, galaxy evolution, cosmology, and Machine Learning.
I am part of the Dark Energy Spectroscopic Instrument (DESI) Collaboration,
and the Legacy Survey of Space and Time Dark Energy Science Collaboration (LSST DESC).
My current research focuses on:
- empirically mapping stellar continua to emission lines with a JAX-implemented Multi Layer Perceptron trained on data from DESI;
- improving photometric redshifts for the next generation of surveys (in particular LSST) by characterizing systematic biases in spectroscopic training/calibration sets using realistic mock survey catalogs;
- and using deep neural networks to compress images into a low-dimensional space and perform downstream tasks on this space, such as photo-z prediction, outlier detection, and classification.
Making Realistic Mocks to improve Photo-z Calibration
More details soon!
Image Compression
More details soon!
Contact
My email is ask126@pitt.edu.