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Hi, I'm Adam, a data scientist/ ML engineer currently based in London...

  • ✨ I previously worked as an astrophysicist for 6 years at MPE, Garching, Germany, completing a PhD and postdoc on ML applications within time domain X-ray astronomy. I also analysed the multi-wavelength time-series data from stellar tidal disruption events, which occur when stars pass too close to supermassive black holes and are torn apart by tidal forces!

  • 🌱 Two resolutions for 2024: i) explore coding in Rust, ii) run my first marathon.

  • 💬 Get in touch

Some projects that I've lead with publicly available code:

  1. XCLASS: automated astronomical X-ray source classification, adapted from work completed in my PhD thesis.

  2. eROSITA data validation: processing scripts for validation of the eROSITA source catalogues.

  3. RadioGalFit: Radio Galaxy Detection and Characterization in the Visibility Domain using Bayesian Inference. Code developed during Masters thesis, and paper later published in MNRAS.

Adam Malyali's Projects

bxa icon bxa

Bayesian X-ray analysis (nested sampling for Xspec and Sherpa)

python-seminar icon python-seminar

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

weirdestgalaxies icon weirdestgalaxies

This repository contains the basic outlier detection algorithm that we use to find the weirdest SDSS galaxies.

xclass icon xclass

Automated astronomical X-ray source classification.

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