Vladimir Espinosa Angarica, PhD

Scientific & Academic Consultant
CardiOmix S.r.l
Dept. of Clinical Arrhythmology and Electrophysiology
I.R.C.C.S. Policlinico San Donato

Visiting Senior Research Fellow
Center for Computational Biology
DUKE-NUS Medical School



General Info

    I am a biochemist and bioinformatician trained at the Biology Faculty of the University of Havana, Cuba. After my graduation, I joined the National Bioinformatics Center (BIOINFO) as an Associate Researcher of the Computational Genomics Group in 2002. My main research interests have been focussed on the study of the mechanisms of transcriptional regulation in eukaryotes and prokaryotes. While at BIOINFO I was part of an international cooperation project involving the National Laboratory for Scientific Computing (LNCC) at Petropolis, Brazil and the Center for Genomic Sciences (CCG) at the National Autonomous University of Mexico for the bioinformatics study of the mechanisms of transcription regulation in gamma-proteobacteria. I completed my Ph.D. in Biochemistry in 2014 at the Department of Biochemistry and Molecular and Cellular Biology of the University of Zaragoza and the Institute for Biocomputation and Physics of Complex Systemswith a research project related to a bioinformatics study of protein conformational flexibility and misfolding, and the prediction of the pathologic effect of mutations in conformational diseases.

    In 2014, after completing my doctorate, I moved to Luxembourg to join the Computational Biology Group, at the Luxembourg Centre for Systems Biomedicine from the University of Luxembourg. There, as a Research Associate, I coordinated a CORE Project, funded by the Fonds National de la Recherche (FNR), for the use of network models in the study of the underlying regulatory mechanisms, at the transcriptional and epigenomics levels, determining key processes such as cell differentiation and development.

    After 3 years in Luxembourg, I’ve decided to take a thrilling challenge and moved to Singapore to take a position as Research Fellow at the National University of Singapore (NUS), where I’m working at the Cancer Science Institute (CSI), under the supervision of Prof. Daniel G. Tenen. By joining this international, multicultural and highly dynamic research environment, I’ll have the great opportunity to make the round trip from the ‘dry’ hard-core computational biology field in which I’ve been working for more than 15 years, and return to a more ‘wet’ experimental and clinically oriented environment, very similar to that in which I was trained as a Biochemist. At CSI I’ll be contributing bioinformatics analyses to disentangle the molecular mechanistic of RNA regulatory mechanisms, to uncover their implication in the onset and progression of important diseases, such as acute myeloid leukemia (AML). In this multidisciplinary research environment, focused on performing basic and translational cancer studies to devise more effective cancer treatments, I aim to propose novel bioinformatics approaches for modeling biological phenotypes to predict candidate molecular targets and rational intervention strategies for reverting disease phenotypes.

    In 2020, after completing a rewarding and fulfilling tenure at the Cancer Science Institute (CSI), I took yet another leap in my professional career by transitioning to the private sector, joining a multidisciplinary team of physicians, cell biologists, biochemists, and artificial intelligence specialists, within the umbrella of Policlinico San Donato, at Milano, and under the direction of Prof. Carlo Pappone. In this team, in my new role as Scientific and Academic Consultant under the supervision of Assoc. Prof. Enrico Petretto, at DUKE-NUS Medical School, I'll be involved in the research and development of Systems Biology and Translational Medicine projects aimed at the integration of genetic, functional genomics and clinical data with a focus on cardiovascular diseases. With a main focus in the clinical, translational and molecular study of Brugada Syndrome and Sudden Death, I'll be contributing bioinformatics analyses for the integration of medical and multi-omics data for the identification of the causal determinants, genetic variations, genes pathways and biomarker signatures underlying Brugada Syndrome and related cardiovascular disorders. My work will be circumscribed into a much broader and ambitious goal for linking clinical electrophysiological observables obtained from patients and "healthy" subjects -e.g. from clinically-performed electrocardiograms in the former or self-tracking using modern-day wearables, such as Apple Watches in the latter- as well as other phenotypical data to the underlying molecular dysregulations, and genomic structural variations underpinning Brugada and other Sudden Deaths related syndromes, by combining genomics analyses, machine learning, and artificial intelligence approaches.

Professional Activities