My email address: maxandre dot jacqueline at me dot com
Oxford University, DPhil (PhD) on Modelling and simulation of engineered, stem-cell derived cardiac tissue to be delivered by the Mathematical Institute, Pembroke College, 2017-2020 (expected)
Oxford University, Doctoral training programme in Systems Approaches to Biomedical Science, 2016-2020 (expected)
École Centrale Paris, MSc-level Specialisation Year,
Computer Science, Research track with a focus on Computational Biology, 2015-2016 Overall Grade: A and GPA: 4.00/4.00 (unofficial)
ESCP Europe, Master's degree in Management Grande École, with Industrial and Specialisation Years Overall classification: Distinction
Course in Paris and London: 2012-2014
Industrial year in Paris and Dublin: 2014-2015
Specialisation year at École Centrale Paris: 2015-2016
Undergraduate course (Classes Préparatoires), Mathematics and Humanities Overall grade: A (highest). Admitted to a prestigious Grande École.
At Ipésup-Prépacom (Paris): 2011-2012
At Lycée Henri IV (Paris): 2009-2011
Lycée Condorcet (Paris), Scientific Baccalaureate (~A-levels), Specialisation in Mathematics, Earth and Life Sciences, 2006-2009 Achieved highest grade (Mention très bien).
Systems approaches to finding treatments for age-related damage to prolong and improve health.
On the application side, I'm interested in regenerative medicine to repair the damage underlying diseases of aging. This framework was originally outlined by Dr Aubrey de Grey. I am also interested in the development of immunotherapy against cancer.
On the methods side, I'm interested in mathematics, statistics and computer science. I'm especially interested in computational and mathematical modelling of biological systems with a medical application.
My DPhil research project is on mathematical and computational Modelling and simulation of engineered, human-induced-pluripotent-stem-cell-derived cardiac tissue for regenerative medicine and drug testing. I am registered at the Mathematical Institute at the University of Oxford and sponsored by the pharmaceutical company Roche headquartered in Basel, Switzerland. My academic supervisors are Professor Sarah Waters (Mathematical Institute, University of Oxford) and Professor Ruth Baker (Mathematical Institute, University of Oxford), and my industrial supervisors in Roche are Doctors Liudmila Polonchuk and Ken Wang.
Completed an 11-week short project on mathematical and computational modelling of Messenger RNA vaccines as drivers of cytotoxic-T-cells-mediated tumour lysis with a system of ordinary differential equations, supervised by Eamonn Gaffney (Oxford, Mathematician), Jonathan Wagg (Roche, Physician), Mark Coles (Oxford, Immunologist), Neil Dalchau (Microsoft Research Cambridge, Computational Scientist), and Tim Elliott (Southampton, Immunologist) and based at the Mathematical Institute at the University of Oxford.
Completed an 11-week short project on Mathematical and computational modelling of cardiac wound healing with partial differential equations, supervised by Sarah Waters (Oxford, Mathematician), Ruth Baker (Oxford, Mathematician) and Paul Riley (Oxford, Regenerative Medicine), and based at the Mathematical Institute at the University of Oxford.
Master's research internship at Gustave Roussy Cancer Hospital (Villejuif): Development of software for analysing 4D ultrasound images in Matlab, with object-oriented programming paradigm. May 2016 - September 2016 (full-time) Internship report grade: A+ (highest grade).
Supervised by Stéphanie Champagnat, PhD (Nuclear Physics) and Nathalie Lassau, MD, PhD.
Master's project at Ecole Centrale Paris: "Optimisation of a Genetic Regulatory Networks Analysis Tool", September 2015 - April 2016 (part-time) Supervised by Pascale Le Gall, PhD (Computer Science) and ENS Ulm alumni and Paolo Ballarini, PhD (Computer Science).
Formal verification techniques (model-checking, linear temporal logic, Büchi automata) applied to gene regulation networks.
Master’s thesis at ESCP Europe: "Who consider management courses as 'bullshit'?", July 2015 - June 2016 (part-time) Thesis grade: A (top 10% of students). Supervised by Olivier Saulpic, PhD (Economics) from Ecole Polytechnique.
Focused on personality types (MBTI).
Involved statistical and machine learning questionnaire data analysis with Python and Matlab.