Talks and seminars

Invited

• Institute for Nuclear and Particle Astrophysics, Lawrence Berkeley National Laboratory (2026)
  “Feasible MCMC in high-dimensional parameter spaces”

• Institute of Astronomy, University of Cambridge (2026)
  “MCMC inference at the field level”

• Centre for Astrophysics Research, University of Hertfordshire (2026)
  “How common are Earth-like planets? and other statistical questions in astrophysics”

• Center for Astrophysics at Harvard and Smithsonian, Boston (2025)
  “Occurrence of Earth-like planets in the habitable zone”

• Institute for Advanced Study, Princeton (2025)
  “Time-domain astronomy at the detection limit”

• Department of Astrophysical Sciences, Princeton University (2025)
  “Exoplanet transits, supermassive black hole binaries and beyond”

• Flatiron Institute, Center for Computational Astrophysics, New York (2025)
  “How common are Earth-like planets?”

• Flatiron Institute, Center for Computational Mathematics, New York (2025)
  “Gradient-based MCMC in high dimensions”

• FORTH Institute of Astrophysics, Heraklion (2025)
  “Periodicity significance testing: null-signal templates”

• LMU Department of Statistics, München (2024)
  “Scalable Bayesian neural networks in BlackJAX: Microcanonical Langevin Monte Carlo”

• Astrophysics Working Group, NANOGrav (2024)
  “Reassessment of PTF’s SMBH binary candidates with null-signal templates”

• Deep Skies Lab, Chicago (2022)
  “Towards field-level inference: Microcanonical Langevin Monte Carlo”

• Center for Integrative Planetary Sciences, Berkeley (2022)
  “Probabilistic exoplanet search”

• Faculty of Computer and Information Science, Ljubljana (2022)
  “Microcanonical Hamiltonian Monte Carlo”

Contributed

• Bayesian Deep Learning for Cosmology and Time Domain Astrophysics, Paris (2025)
  “What does it take to scale MCMC to high dimensions?”

• The Formation and Early Evolution of Supermassive Black Holes, Baltimore (2024)
  “Periodicity significance testing with null-signal templates”

• From Perturbation Theory to AI, Split (2024)
  “Sampling with BlackJAX: Microcanonical Langevin Monte Carlo”

• Advances in Approximate Bayesian Inference, Vienna (2024)
  “Fluctuation without dissipation: Microcanonical Langevin Monte Carlo”

• Cosmology, Vipolže (2022)
  “Statistical significance testing with partial prior information”

• Statistical Challenges in Modern Astronomy VII, Penn State University (2021)
  “Probabilistic exoplanet search with Fourier methods”