Luca Sala
Scientist at Istituto Auxologico Italiano IRCCS
Cardiac arrhythmias | Drug discovery | Precision medicine | Human iPSC models | In ❤️ with data
I am a scientist at the Laboratory of Cardiovascular Genetics, Istituto Auxologico Italiano IRCCS, within the Center for Cardiac Arrhythmias of Genetic Origin directed by Prof. Peter J. Schwartz.
My work is focused on the study of congenital and acquired cardiac arrhythmias with human and patient-specific in vitro models based on human induced pluripotent stem cells.
I aim to understand the complexity of genotype-phenotype relationships for congenital and acquired cardiac arrhythmias and to use in vitro data to provide relevant information to clinicians for patient risk-stratification and precision medicine, harnessing the power of machine learning and automation on biological data.
To ultimately reduce the need for animals in pharmacological and toxicological research, I aim to optimise current drug screening platforms by using patient-specific human-based models and advanced hardware and software tools.
In my free time, I like to code 👨🏻💻, ride my mountain bike 🚵🏻♂️ and run 🏃🏻.
Research areas
Disease Modelling
Patient-specific hiPSC-derived cardiomyocytes to study genotype-phenotype relationships in Long QT Syndrome and calmodulinopathies.
Electrophysiology & Technology
Single-cell and multicellular recordings, contraction analysis, and machine learning for patient risk stratification.
Drug Screening & Precision Medicine
Human-based platforms for cardiotoxicity assessment, drug repurposing, safety pharmacology, and new approach methodologies (NAMs) to reduce animal testing.
news
| Feb 2026 | New paper in Advanced Science: Beyond Transconductance: Cell-Polymer Coupling Determines Fidelity in Action Potential Recording via Electrolyte-Gated Polymer Transistors. |
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| Dec 2025 | Appointed as Junior PI at the Laboratory of Cardiovascular Genetics, Istituto Auxologico Italiano IRCCS, within the Center for Cardiac Arrhythmias of Genetic Origin. |
| Aug 2025 | New paper in Nature Communications: Non-invasive action potential recordings using printed electrolyte-gated polymer field-effect transistors. |
| Mar 2025 | New preprint in medRxiv: Genetic variants risk assessment for Long QT Syndrome through machine learning and multielectrode array recordings. |
| Jan 2025 | New paper in Light: Science & Applications: Membrane-targeted push-pull azobenzenes for the optical modulation of membrane potential. |
| Dec 2024 | New paper in Circulation: Multiplexed assays of variant effect and automated patch clamping improve KCNH2-LQTS variant classification and cardiac event risk stratification. |