Jordi Juárez-Jiménez is an Associate Professor of Physical Chemistry at the University of Barcelona. His research focuses on computational approaches for drug design, with an emphasis on free energy methods and the rational development of molecular glues.

Salomé Llabrés is a lecturer in Physical Chemistry at the University of Barcelona. Her research focuses on computational methods to target membrane proteins and to design new antimicrobial treatments.

I am an Associate Professor at the University of Barcelona. My research focuses on developing new therapeutic strategies targeting human gut microbiota enzymes and cellular energy regulators implicated in cardiometabolic diseases, using advanced computational approaches including quantum mechanics and molecular dynamics simulations with enhanced sampling methods.

Dmitry Lupyan is a Research Scientist, Product Manager and computational chemist with 20 years of experience in drug discovery. Driven by a passion for solving challenging scientific problems, he specializes in developing new tools and scientific software to advance pharmaceutical research. His expertise spans advanced molecular modeling, including molecular dynamics (MD), free energy perturbation (FEP), and binding kinetics.

Jenke is a scientist who broadly applies and develops computational tools and benchmarks for biotechs and pharmaceutical companies. He holds a PhD from the University of Edinburgh in physics-based and data-driven predictive modelling. Previously at ASAP Discovery and CHARM Therapeutics, he currently supports early-stage discovery programs for a variety of institutions.

I began my career as a physicist before transitioning into computational chemistry and structural biology. Currently, I am a PhD candidate at NostrumBioDiscovery, balancing research and software development with IT infrastructure management. My work focuses on integrating AI-based approaches, molecular modeling, and free energy calculations to generate more accurate conformational ensembles that drive actionable insights for drug discovery.

Drawing on her academic foundation in Bioinformatics and protein structural modeling, Tatjana has worked as an Applications Scientist for Schrödinger since 2017. In this role, she supports and guides customers using the company's life science software suite for various drug discovery applications with a focus on free energy calculations using FEP+.

Vytas Gapsys is a Principal Scientist at Johnson & Johnson. Working on free energy calculations and molecular dynamics simulations.

Computational biophysicist at the Max Planck Institute for multidisciplinary sciences, Göttingen, Germany. Chemistry studies and PhD from the university of Groningen, the Netherlands. Interested in protein functional dynamics, membrane channels, thermodynamics of binding and folding. Senior author/devloper of PMX.

AK is a Ph.D. student at the University of California Irvine, USA. He is jointly supervised by Dr. Mobley and Dr. Jespers (University of Groningen, The Netherlands). He previously helped conduct the SAMPL8 physical properties challenge and his current research focuses on integrating Bayesian Inference based methods into virtual screening and correcting free energy estimates.