BrainMap

Mr. Ion Petre

CS1

CS1 - INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU STIINTE BIOLOGICE

Researcher | Teaching staff | Scientific reviewer | Consultant | PhD supervisor

Ion Petre is an award-winning researcher and educator who specializes in multi-disciplinary research on data analytics and computational modeling. He has over 25 years of experience in Finland, Romania, and the US. He has led many R&D projects and got them externally and competitively funded with over 4 million euros. He is an author of over 100 peer-reviewed scientific publications, and an invited speaker at many international conferences. He has excellent analytical skills, ability to work in and lead multi-disciplinary teams, and strong interpersonal skills. Ion enjoys developing practical solutions to complex computational challenges, based on state of the art AI technology.

Web of Science ResearcherID: not public

Curriculum Vitae (29/05/2023)

Expertise & keywords

Personalized disease network analysis for precision oncology Call name: P 2 - SP 2.1 - Proiect experimental - demonstrativ
PN-III-P2-2.1-PED-2019-2391 2020 - 2022

Role in this project:

Coordinating institution: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU STIINTE BIOLOGICE

Project partners: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU STIINTE BIOLOGICE (RO)

Affiliation: INSTITUTUL NATIONAL DE CERCETARE DEZVOLTARE PENTRU STIINTE BIOLOGICE (RO)

Project website: http://www.incdsb.ro/p/permed/

Abstract:

Precision medicine is centred on the general objective to integrate a patient’s own (genetic and clinical) data with knowledge about the biological mechanisms of disease to identify her own disease activation pathways and based on them, potentially new therapeutic strategies uniquely suited to that patient. A patient's genomic data can be integrated into a disease- and patient-specific interaction network describing her individual disease configuration. The computational modelling approach to precision medicine, in particular through network analysis, is highly amenable to finding novel personalised combinatorial therapies. This project focuses on the problem of controlling a dynamic network. The basic problem setup we work on is that of a network where control is sought over a given set of targets, in the sense of being able to change their configuration through external interventions on some well-chosen input nodes in the network, taking advantage of the network topology. We are interested in finding a minimal set of input nodes in the network such that the behavior of the target nodes may be changed through a well-chosen sequence of signals to the input nodes, cascaded throughout the network through its wiring. We focus on formalizations of this network controllability problem that maximize its applicability in biomedicine, including a specific set of targets to choose from (e.g., disease-specific essential genes), a specific set of inputs to choose from (e.g., drug targets), as well as non-linear network topologies. We will test the applicability of these methods in the medical setup through two oncology case studies, on glioblastoma and on multiple myeloma.

FILE DESCRIPTION	DOCUMENT
List of research grants as project coordinator or partner team leader
Significant R&D projects for enterprises, as project manager
R&D activities in enterprises
Peer-review activity for international programs/projects