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Nicolas RAPIN

Puteaux

En résumé

Data scientist chez Deloitte

Mes compétences :
Machine Learning
Clinical data
Microarray
Next Gen Sequencing
Cancérologie
Bioinformatics
Immunology
HIV/AIDS
shell scripting
monte carlo simulation
description development
analysis
Python Programming
Microsoft Windows
Microsoft Excel
Mac OS X
Linux
Leukemia
JavaScript
Immunization
Cascading Style Sheets
CT scan
C Programming Language
Adobe Photoshop
Adobe Illustrator
AWK
NGS

Entreprises

  • Deloitte - Data scientist

    Puteaux 2018 - maintenant

  • rigshospitalet - Senior researcher bioinformatics

    2015 - 2018 Leading Bioinformatics effort for the laboratory.

  • University of Copenhagen - Post Doc

    2010 - 2014 We use acute myeloid leukemias (AML) as a model system for taking the first step towards
    description development of truly individualized therapeutic protocols for the treatment of this disease. Our strategy relies on isolation of candidate cell populations needed for sustaining the leukemia, followed by a characterization of their genetic programs. This can reveal their central molecular defect(s). Such strategy allows for the implementation of proper individualized therapeutic protocols and provide guidelines for the development of novel drugs.

  • Copenhagen University - Post Doc

    2009 - 2010 Department of Pharmaceutics and Analytical Chemistry, Faculty of
    Pharmaceutical Sciences, Copenhagen University,

    The goal of the present project is to use dynamical models to simulate both passive difusional
    description and transporter mediated fluxes or permeabilities of APIs across an in vitro biological barrier.
    By fitting a novel mathematical model to experimental data, the model is validated, refined, or
    expanded, according to a ``Hypothesis, Modelling, Experiment Loop'' until the experimental
    and theoretical approaches agreed.

  • Det Farmaceutiske Universitet - Post Doc

    2009 - 2010

  • Immunological - PhD student

    2006 - 2009 PhD student in Immunological Bioinformatics, Centerfor Biological Sequence analysis
    Danish Technical University (DTU).

    Bioinformatics and Simulation of the Immune System

    supervisors Ole Lund, Søren Brunak

    The author creates a matrix method to predict major histocompatibility complex
    class I and II epitopes with the ability to cover a large part of the human population . This
    was subsequently incorporated into a simulation program of the immune system, C-ImmSim. This
    is an extension of earlier work attempting to integrate bioinformatics and systems biology .
    Subsequently, the role of memory cells in infection with the human immunodeficiency virus (HIV) is
    explored using mathematical models (ODE). The model is used in a general framework where the virus
    is allowed to mutate. The model shows that the virus can establish a chronic infection by mutating
    to stay one step ahead of the immune system. By combining host-specific epitope predictions and
    mathematical models describing the interaction between the host immune system and infectious agents,
    it is possible to make predictions of the evolution of diseases on a patient basis, an important step
    towards personalized medicine

Formations

  • Högskolan I Skövde (Skövde)

    Skövde 2004 - 2005 Master of Science

    Master of Science in Molecular Biology w. Specialization in computational Biology,

  • Ecole Polytechnique Universitaire De Montpellier (Ex-ISIM) (Montpellier)

    Montpellier 2000 - 2003 Food Science and Technology

Réseau

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