Currently, I'm collaborating with Prof. Federica Bianco and Prof. Ashish Mahabal on classifying data from the Zwicky Transient Facility (ZTF) using machine learning and distance metrics. We're in the process of publishing a paper on this.
My work is at the intersection of computer programming, data science, physics, and astronomy. I'm particularly interested in:
- Transients and Time-Domain Astronomy
- Astrostatistics and Astroinformatics
When I'm not working on research, I enjoy watching and playing football (soccer), coding for fun (automating the boring stuff!), and bicycling.
Here are some highlights of the projects I have worked on:
Working with Dr. Johann Cohen-Tanugi, we aimed to improve feature extraction methods for RESSPECT. We explored curve fitting approaches and deep learning algorithms (GP-VAE) to extract features from light curves.
Star - Galaxy - QSO Image Classification
Under the guidance of Prof. Ajit Kembhavi, Dr. Vivek M. and Dr. Kaushal Sharma, we used deep learning for photometric classification of compact images from the Sloan Digital Sky Survey as galaxies, stars or quasars. You can read more about this work in our paper, here.
As part of a team, we developed a solution for the PLAsTiCC challenge. Our stacked ensemble of GRU and Dense networks was trained on 7878 light curves and achieved an accuracy of 76.2% on a test set consisting of over 2.5 million light curves.
BlogWhile still in early stages, you can check out my blog here!
If you have any questions about my work, are interested in collaborating on a project, or find a bug in my code, please don't hesitate to reach out. You can email me at firstname.lastname@example.org.