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International Conference Exoplanets and Planet Formation

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GitHub link | View online

GitHub link | View online

About Me

I'm an exoplanet researcher focused on detecting and characterising long-period giant planets by combining precision radial-velocities with astrometry. I develop Bayesian methods and open-source tools to make model selection and evidence estimation more reliable in challenging multi-modal posteriors.

Now seeking

Postdoctoral positions where I can combine algorithm development with bulk data analysis (in preparation Gaia DR4/Roman/PLATO/ELTs), to tackle on important exoplanet population and formation questions, like how common true Jupiter analogues are, how outer giants help shaping the inner architecture of planetary systems, and how crucial Jupiter is for life on Earth.

Highlights

I built reddemcee, an adaptive parallel-tempering MCMC sampler in Python with original implementations of temperature ladders, and next-gen Bayesian evidence estimation (including a novel hybrid method which combines the best of thermodynamical integration and the stepping-stones algorithm); and EMPEROR, a Python library for joint RV+astrometry orbit fitting (multi-instrument offsets and jitters, GP noise models, stellar activity indices, etc). On the observational side, I've led and analysed programs on CORALIE, with several nights of and worked with HARPS data, extending the CHEPS sample to uncover Jupiter analogues (using combined RV and Hipparcos/Gaia data).

Technical strenghts

  • Bayesian inference and statistical methodology: I have strong expertise in Bayesian inference, including MCMC and nested sampling algorithms, Gaussian processes, model comparison, and hierarchical modelling.

  • Joint RV+astrometry frameworks: I specialise in joint RV+astrometry (Hipparcos/Gaia+RVs) and stellar activity (e.g., differential rotation, granulation, magnetic cycles, Rossiter–McLaughlin) modelling.

  • Software development: I develop open-source tools (packaging, documentation) with modular designs, version control, and reproducible workflows.

  • Computing, HPC, and infrastructure: I have hands-on experience with computing infrastructure, from building a small server to running large-scale MCMC campaigns.

  • Surveys and instruments: My experience spans handling survey-class data (e.g., CHEPS, HARPS, Hipparcos, Gaia), and extensive on-site observations with CORALIE, giving me practical understanding of instrument systematics.