I am a postdoctoral researcher in the McWilliams Center for Cosmology at Carnegie Mellon University. My research interests encompass both cosmology and astrostatistics with a focus on weak gravitational lensing, deep learning and sparsity based methodologies.
- [Mars 2017]: Paper on deep learning for strong lens finding submitted: arXiv:1703.02642
- [February 2017]: CMU team wins a Gravitational Lens Finding challenge using deep learning
- [February 2017]: Research on Deep Generative Models featured on nature.com
- [September 2016]: Paper accepted for AAAI 2017: arXiv:1609.05796
Wean Hall, 8313
Department of Physics
Carnegie Mellon University
5000 Forbes Ave.
Pittsburgh, PA 15213
Weak Gravitational Lensing
I am interested in multiple aspects of weak gravitational lensing including dark matter mass-mapping as well as observational and astrophysical systematics.
I am using state-of-the-art deep learning techniques to explore several applications of machine learning in cosmology.
Sparse Signal Processing
I have developed sparse representations and used sparse recovery techniques in a number of cosmological applications.