Telescope Specific Experience:
Chandra X-ray observatory (CXO):
Extensive imaging and analysis experience with imaging for brightest cluster galaxies, quasars and low-luminosity AGN. Involved with developing image processing pipeline to trace faint signals from hidden quasars using unsupervised learning algorithm.
Very Large Baseline Array (VLBA):
Successfully proposing for telescope time as the PI; reducing and imaging continuum data for both radio-quiet and radio-loud AGN.
James Webb Space Telescope (JWST):
Experience with reducing NIRSpec, developing analysis pipeline for AGN at redshift, z=0.01-7.
Very Large Telescope (VLT):
Experience with multiple spectrographs (being co-investigator of multiple successful observing proposals, data reduction using ESOReflex)
Very Large Array (VLA):
Extensive experience (a strong theoretical background specific to this telescope, planning observation, data reduction using CASA)
Hubble Space Telescope (HST):
Experienced with data analysis of Wide Field Imaging Camera 3 (WFC3), Space Telescope Imaging Spectrograph (STIS) and Near Infrared Camera and Multi-Object Spectrometer (NICMOS). Used HST data for 2 research projects.
Computing Skills:
Programming: Python, C, Fortran 90, HTML, CSS, Javascript.
Analysis: Astropy, XSPEC, CASA, DS9, Topcat, QFitsView, Gnuplot.
Presentation: LaTex, Matplotlib, Seaborn, Plotly, Adobe Illustrator.
OS: Linux (Scientific Linux, Ubuntu, Elementary OS), macOS, Windows.
Machine learning: Scikit-learn, Pytorch, Tensorflow, Large Language Model (python based).
Multi-wavelength data reduction:
UV: PyRAF, CALCOS (data reduction software for Cosmic Origin Spectrograph).
Optical: MUSE data reduction using EsoReflex.
Radio: VLA data reduction using CASA.
Multi-wavelength Analysis Experience:
X-ray: Spectral modeling (XMM data), Image analysis (Chandra data), Chandra catalogue data.
UV: COStools (analysis software for Cosmic Origin Spectrograph). Experience with HST/STIS spectroscopic data.
Optical: Extensive experience with observational techniques, optical spectroscopy (e.g., X-SHOOTER); integral field spectroscopy (e.g., MUSE- both wide-field mode and narrow-field mode, VIMOS, PMAS).
Radio: Quantitative analysis of VLA data in CASA, analysis of e-MERLIN, VLBI data in python.
Space Mission design/ Satellite Development:
TSAT4 (CubeSat): Radiation shielding in TSAT4 in the University of Manitoba Space Application Technology (came first in the CubeSat competition all across Canada), University of Manitoba, 2018.
MEKSat (CanSat): Developing the science case (ozone layer depletion), manufacturing and assembling the payload, University College Dublin, 2016.
Molγ (Concept space mission): Developing the scientific objective of a concept mission focusing on the planet Mercury, University College Dublin, 2016.