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+34 946 567 842
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+34 946 567 842
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lnagar@bcamath.org
Information of interest
- Orcid: 0000-0002-2895-3466
I am a Postdoctoral Fellow in the Modelling and Simulation in Life and Materials Sciences research group at BCAM.
I obtained my PhD in Mathematics and Statistics in June 2025 from the Euskal Herriko Unibertsitatea (EHU) with a thesis entitled “Optimising performance of Hamiltonian Monte Carlo (HMC) in molecular simulation and computational statistics”, supervised by Prof. Elena Akhmatskaya (BCAM) and Prof. Jesús María Sanz-Serna (Universidad Carlos III de Madrid). My doctoral research was funded by the La Caixa – INPhINIT 2020 Fellowship.
My research interests focus on the development and analysis of computational methods for mathematical models applied to real-world problems. In particular, I work on the improvement of Hybrid/Hamiltonian Monte Carlo (HMC) methods and its Generalized version (GHMC) for applications in molecular simulation and computational statistics, with a particular emphasis on adaptive multi-stage integration schemes.
I obtained a Master’s degree in Mathematics in 2019 and a Bachelor’s degree in Mathematics in 2016 from the Università degli Studi di Napoli “Federico II”.
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Optimising performance of Hamiltonian Monte Carlo (HMC) in molecular simulation and computational statistics
Nagar, L.
(2025-06-19)
Technological advancements have led to increasingly complex systems, demanding sophisticated computational methods for understanding phenomena, making predictions, and informing decisions. In this context, the efficiency ...
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Adaptive multi-stage integration schemes for Hamiltonian Monte Carlo
Nagar, L.; Fernández-Pendás, M.; Sanz-Serna, J.M.; Akhmatskaya, E. (2024-01-26)
Hamiltonian Monte Carlo (HMC) is a powerful tool for Bayesian statistical inference due to its potential to rapidly explore high dimensional state space, avoiding the random walk behavior typical of many Markov Chain Monte ...