Our Team

Leads computational biophysics research on phase separation and molecular simulations.

Amrita Goswami has a PhD in Chemical Engineering from the Indian Institute of Technology, Kanpur, and previously completed a postdoctoral fellowship from the Icelandic Research Fund. She is currently a postdoctoral researcher at Universidad de Complutense de Madrid. Her previous research interests include ice nucleation simulations, ice structure determination, and solvation of ions in water and modelling concentrated solutions with molecular dynamics. She is currently working on coarse-grained protein modelling. She enjoys developing scientific code, and has worked on a few hobby projects, including a code for stochastically simulating lava flow emplacement, and opinion dynamics. Also enjoys cats, reading epic fantasy/science fiction with happy endings, and Sichuan peppers.

I obtained my MSc in Theoretical Physics from Universidad Complutense de Madrid (2018) and completed my PhD in Complex Systems at Universidad Politécnica de Madrid (2023), where I worked on the dynamics of entangled polymers and later expanded into biomolecular condensates through research stays at the University of Cambridge and Forschungszentrum Jülich. I then joined the University of Cambridge as a postdoctoral researcher, continuing my work on protein condensates. Currently, I devote my work to understand the molecular mechanisms that govern protein phase transitions, condensate formation, and RNA-protein interactions. My current research focuses on developing quantitative coarse-grained models to understand how biomolecules self-assemble into dynamic, functional structures and how these processes relate to cellular organisation. I am currently a Juan de la Cierva fellow and a recipient of a Marie Curie Postdoctoral Fellowship (2025 call). I am also involved in teaching and student supervision across physics, chemistry, and scientific computing.

Ignacio Sanchez Burgos obtained his Bachelor’s and Master’s degrees in Chemistry from the Complutense University of Madrid, where his research focused on rare-event simulation techniques for liquid–vapor phase transitions using Molecular Dynamics. He subsequently completed a PhD in Physics at the University of Cambridge, investigating phase transitions in soft matter systems, ranging from colloidal suspensions to biomolecular condensates. His work integrates advanced computational methods, algorithm development, and scientific programming (Fortran, Python, and Bash), and included a research stay at Princeton University, where he refined a Machine Learning based model for water. He is currently a postdoctoral researcher developing advanced molecular simulation approaches aimed at understanding and preventing neurodegenerative diseases.

I hold a BSc in Chemistry (U. Complutense de Madrid), a MSc in Condensed Matter Physics (U. Autónoma de Madrid) and, since Sept. 2025, a PhD in Biophysics (U. Autónoma de Madrid). During my Thesis, supervised by Dr. Salvatore Assenza, I used Molecular Dynamics to study the mechanical properties of nucleic acids at different physical scales. I have also worked (2018-2021) in ice premelting within the framework of the Lifshitz theory of the van der Waals forces, and in the impact of mechanical entanglement and linking topology in DNA-inspired systems (2023-2024, during a PhD internship in SISSA, Trieste). From 2022 to 2025 I worked as a teaching assistant at the Department of Theoretical Condensed Matter Physics (U. Autónoma de Madrid). Currently, I am a post-doctoral researcher in Dr. Jorge R. Espinosa's group at the department of Physical Chemistry (U. Complutense de Madrid).

Moritz Sallermann obtained his Bachelors and Masters degree in Physics from RWTH Aachen University in Germany. He, then joined a Cotutelle Ph.D programme in Physics at RWTH (working at the Juelich research center) and in Chemistry at the University of Iceland. His Ph.D research focused on the entropy and lifetime of topologically protected spin structures in magnetic material. At the University of Iceland, he also worked on the implementation and development of a polarizable atomistic water model, parametrized against first-principles calculations. He is currently a postdoctoral researcher at Universidad de Complutense de Madrid, working on protein modelling and the development of machine learned predictors, which aim to predict certain properties of proteins from their sequence of Amino acids. Besides physics, he enjoys mathematics (especially numerical methods), scientific (HPC) programming in C++ and python, open source software development, video games, reading and moderate amounts of exercise.

Pablo Llombart is a chemist specializing in soft matter and molecular simulation. He currently conducts research in the Biomolecular Simulation Group at the Complutense University of Madrid, where he leads studies on biomolecular condensates and drug design, following the consolidation of his interdisciplinary profile as a Juan de la Cierva researcher at the Autonomous University of Madrid. PhD in Theoretical Chemistry and Computational Modeling in 2019, and his career stands out for bridging physics, chemistry, and biology to address complex processes. He has published more than 20 papers in top-impact journals, including Science and Nature. His work spans from nanostructures and quasicrystals to biological membranes, and is consistently characterized by close collaboration with experimental laboratories to validate cutting-edge computational models.

I hold a BSc in Chemistry (U. Complutense de Madrid) and a MSc in Chemical Sciences and Technologies, with a specialization in Nanoscience and Nanochemistry (U. Complutense de Madrid). During both my BSc and MSc final projects, supervised by Prof. Antonio Rey Gayo, I used Montecarlo simulations to study protein folding in Intrinsically Disordered Proteins (IDPs). Currently, I am a PhD student in Dr. Jorge R. Espinosa's group in the department of Physical Chemistry (U. Complutense de Madrid). My thesis is supervised by Dr. Jorge Reñé Espinosa (U. Complutense de Madrid) and Dr. Ignacio Sánchez Burgos (Cambridge University), and focuses on using Molecular Dynamics simulations to study biomolecular condensates and understand several chemical processes that are crucial to neurodegenerative diseases.

Work in progress

Work in progress

I hold a Bachelor's degree in Biotechnology from the Polytechnic University of Madrid (UPM, 2019-2023) and a Master's degree in Neuroscience from the Complutense University of Madrid (UCM, 2024). I am currently a PhD student at the Department of Physical Chemistry at UCM, working under the supervision of Dr. Jorge R. Espinosa. My doctoral studies have been supported from the start by a research contract with BAYER AG. My research focuses on the application of molecular dynamics simulations to investigate key properties in the production of Crop Protection agents, particularly their structural stability and bioavailability.

Work in progress

Work in progress