About

I am a research scientist working in the fields of machine learning (ML), Artificial Intelligence (AI), Big Data, with domain expertise in Astro-physics & Cosmology. I'm developing computer vision algorithms (e.g. Vision Transformers) to solve a wide range of scientific problems. My domain research interests include the studies of statistical and physical properties of galaxies, extragalactic radio sources, galaxy clusters, and cosmic microwave background (CMB). I'm working on the classification and detection of radio galaxies with ML/AI for the Australian Square Kilometer Array Pathfinder (ASKAP).

 

I'm currently employed as a research scientist at CSIRO Space & Astronomy. In collaboration with CSIRO Data61 and FSP-MLAI, our work is at the forefront of the Australian Government's ML/AI efforts. Previously, I worked at the University of Melbourne as a post-doctoral researcher. At Melbourne, I developed deep learning methods to estimate the mass of galaxy clusters and studied the polarization properties of extragalactic radio sources. I developed techniques to decipher the CMB lensing measurements in the sub-millimeter data from South Pole Telescope. My research is based on the analysis of terabytes of data from various radio/optical/X-ray/Infrared surveys.

 

I was awarded PhD at Ludwig Maximilans University in Munich, Germany in 2018.

 

When I'm not doing science I'm out for sports or hanging out with family and friends.