Hello! I am an astrophysicist at the Center for Astrophysics | Harvard & Smithsonian in Cambridge, Massachusetts. I contribute to groundbreaking research, notably with the first direct image of a black hole.

I analyze complex datasets and develop data science pipelines, with expertise in statistical analysis, simulation-based inference, computational imaging, and Bayesian inference. My roles have included coordinating international research teams, managing large-scale simulations and analyses on HPC clusters, and space mission planning with NASA and ESA. I imaged the first-ever supermassive black hole in the galactic core of Messier 87 with the EHT Collaboration.

Center for Astrophysics | Harvard & Smithsonian and Black Hole Initiative, Harvard University

Postdoctoral Researcher
2021 – Present
Cambridge, MA, USA

In my current role, I have developed a Bayesian geometric modeling method to measure polarized emission near black holes, leading to the first constraints on magnetic field structures near the event horizon of the supermassive black hole in the center of the Milky Way.


Furthermore, I lead the Next-Generation Event Horizon Telescope (ngEHT) Analysis Challenges, which involve participants analyzing simulated datasets to refine both the array design and analysis algorithms, working towards the first movies of black holes. Through student mentoring and public science communication, I also like to inspire a new generation of scientists.

Radboud University

PhD Candidate
2016 – 2020
Nijmegen, the Netherlands

As a PhD candidate, I significantly advanced radio astronomy by creating SYMBA, a critical software pipeline for synthetic data generation. I developed a space mission concept with the European Space Agency (ESA), achieving image resolutions that are seven times sharper than what is currently possible from the ground. My PhD work culminated in the first-ever image of a supermassive black hole, which made its way across the world gaining extensive international press coverage.

Center for Astrophysics | Harvard & Smithsonian

Visiting Student
2016 – 2021
Cambridge, MA, USA

As an intern, I invented a statistical variability quantification metric for radio interferometer data utilizing circular statistics. This metric is still used extensively to detect variability in astronomical radio sources.  

MIT Haystack Observatory

Visiting Student
2014
Westford, MA, USA

During a summer project, I advanced an imaging and data averaging scheme mitigating source variability effects for radio interferometer measurements.