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Research

  • Under review

    MIT — Gómez-Bombarelli Group · 2025

    Bayesian Optimization for Biochemical Discovery with LLMs

    We combined large language models with Bayesian optimization loops for accelerated biochemical property prediction and molecular design, probing the limits of LLMs in chemical discovery.

    Bayesian Optimization · LLMs · Drug Discovery

    Paper / external link

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  • Ongoing

    Politecnico di Torino — Pavan Group · 2023

    Multiscale Modelling of Supramolecular Assemblies of Light-Driven Molecular Motors

    We modeled the behaviour of light-driven molecular motors in supramolecular assemblies using molecular dynamics, metadynamics, and coarse-graining.

    Molecular Dynamics · Metadynamics · Coarse Graining · Molecular Motors

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  • Unpublished

    University of Cambridge — Knowles Group · 2021

    Probing amyloid-ion binding with microfluidics and Physics-informed NN

    Measured the binding of divalent cations to alpha-synuclein monomers using microfluidic electrophoresis and worked on a physics-informed neural networks for accellerated fitting of reaction kinetics.

    Microfluidics · Machine Learning · Amyloid · Biophysics

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  • Gold medal

    Lund University · 2021

    iGEM: Mathematical modelling of curli-producing bacteria

    We modeled the production of curli biofilms in curli-producing bacteria and probed the effect of various drug candidates. iGEM competition entry.

    iGEM · Amyloid · Mathematical Modelling

    Paper / external link

  • Gold medal

    Lund University · 2021

    iGEM: Generating anti-oomycete peptides with ensemble models

    We developed an ensemble model for anti-oomycete peptide classification and a genetic algorithm for de-novo peptide design. iGEM competition entry.

    iGEM · Synthetic Biology · Machine Learning

    Paper / external link