Collaborations & Public Codes


Global and Modular BSM Inference Tool

Dark Machines

Dark Machines is a research collective of physicists and data scientists. We are curious about the universe and want to answer cutting edge questions about Dark Matter with the most advanced techniques that data science provides us with.


Utilising the power of MeerKAT, TRAPUM will discover numerous new pulsars and transient events in order to expand our knowledge of the populations of sources which emit at radio wavelengths on timescales ranging from microseconds to seconds.


Likelihoods for indirect dark matter searches with gamma rays


A Python tool to study the information yield of counting experiments.


Master students, PhD students & postdocs

Information about possible Bachelor and Master projects in my group can be found here.


  • Marco Chianese (2018 - …)
  • Bradley Kavanagh (2017 - …)
  • Antonella Garzilli (2016 - 2017)
  • Emma Storm (2015 - …)
  • Francesca Calore (2014 - 2015)

PhD students

  • Thomas Edwards (2015 - …)
  • Suraj Krishnamurthy (2014 - …)
  • Richard Bartels (2014 - …)
  • Roberta Diamanti (2013 - 2017, co-supervision with Shin’ichiro Ando)
  • Hamish Silverwood (2012 - 2016, co-supervision with Gianfranco Bertone)


Recent and upcoming

Dark Matter Searches with Gamma Rays
Apr 25, 2018
Disentangling the gamma-ray emission from the Galactic bulge
Apr 19, 2018
Can we trust an excess in indirect DM searches?
Apr 11, 2018
Indirect dark matter searches with charged cosmic rays and sub-GeV photons
Feb 21, 2018
Fast model discrimination with Euclideanized signals
Jan 15, 2018

Recent Publications

A full list of publications can be found on

Galactic Binaries Can Explain the Fermi Galactic Center Excess and 511 keV Emission



At the University of Amsterdam, I teach the following courses.

Bachelor Physics and Astronomy:

Master Physics and Astronomy:

Outreach & Media

News articles