LHC Physics Center

What I will be working on:

As an LPC SDR, my primary goal will be to coordinate the DAQ system development for the MIP Timing Detector (MTD) Endcap Timing Layer (ETL) and installation of a DAQ teststand at Fermilab. With this system, we will validate the ETL readout chain from the ETROC chip to the backend DAQ ATCA boards.

I will also focus on the development of an advanced timing monitoring system, which will be based on techniques leveraging fast machine learning inference.

Finally, I will contribute to the improvement of machine learning methods used in the search for new physics particularly in X->HY->bbγγ process.

My role in CMS past and present:

I joined the CMS collaboration in 2011 as an MSc student and I defended my PhD thesis in 2016. My PhD work focused on the development and optimization of machine learning algorithms for new physics searches and the HCAL Phase I upgrade. I received the CMS achievement award in 2016 for this work.

Afterwards, I worked on multiple analyses of the Higgs boson properties with respect to the diphoton final state.

Currently, as a senior scientist at CEA Saclay, I am leading the development of the MTD DAQ and Precision Clock Distribution system. In addition, with my students, we are developing novel machine learning techniques for object reconstruction and physics analyses.