PhD student at SUBATECH (Nantes) and UMass Amherst. I design, simulate, and operate detectors that push sensitivity for neutrino and dark matter experiments.
Built purification and outgassing models for UHV systems and liquid xenon, established mitigation practices (throughput/RGA measurements, bake cycles, purges), and analyzed electron lifetimes.
Ran large Monte Carlo campaigns for radioactive decays, automated TB-scale simulation/reconstruction, and modeled gamma attenuation to set collaboration-wide background budgets.
Designed and tested HFE recirculation, LN2 heat exchangers, instrumentation/DAQ, Arduino-based slow controls, and custom PCBs for power, relays, and valve control.
Assembled optical benches, simulated mode-cleaner cavities in Python/MATLAB, and performed alignment and noise characterization.
Characterized hybrid photosensors, built Geant4 optical models, and measured DAQ noise to evaluate detector performance.
Contributed to nEXO sensitivity work on solar neutrinos and fermionic dark matter, aligning background-free analyses with detector design constraints.
Purification/outgassing models, gamma attenuation, shielding design, and mitigation playbooks for low-background detectors.
Geant4/ROOT, MCNP, Python (NumPy, SciPy, pandas, Matplotlib, strax) with automated pipelines on SLURM/HPC clusters.
DAQ and slow controls, sensor integration (thermocouples, pressure, flow), Arduino-based readout, PCB design, and DIN-rail power/relays/valves.
C++, Python, Bash; reproducible data pipelines; Linux/macOS/Windows; LATEX/Markdown documentation.
Arduino-based readouts, PCB design, relay/valve control, sensor integration, and power systems for lab instrumentation.
Lectures, labs, and public talks; fluent in French/English; clear documentation to align collaborators and students.