Few words about me

Cofounder of La Clinique du Docteur Memo.
In charge of Product & Tech
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PhD in Machine Learning applied to Neurosciences (manuscript)
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Ex-Postdoctoral Researcher [ Inria ] x [ Paris Brain Institute ]
Ex-PhD Student at [ Paris Brain Institute ] x [ Ecole Polytechnique ]
Ex-Deep Learning Lead Instructor [ Le Wagon ].
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Always involved in new projects.
Research
Projects

About me

I co-founded Qairnel, where we equip pharmaceutical companies with cutting-edge solutions to maximize the success of their clinical trials targeting neurodegenerative diseases. Our key offerings include:
  • Advanced artificial intelligence algorithms designed to enhance drug detection
  • Access to prescreened patients, whom we track through the Clinique du Docteur Memo, a digital platform that helps individuals concerned about their memory — or that of their loved ones — understand and manage potential cognitive disorders.


    Previously, I was a Postdoctoral fellow in Machine Learning at the Paris Brain Institute & Inria, where I developed methods and tools to improve clinical trials for neurodegenerative diseases such as Alzheimer's, Parkinson's, and Huntington's diseases. I obtained my PhD in Machine Learning under the supervision of Stanley Durrleman and Stéphanie Allassonnière in January 2020, as part of the Center for Applied Mathematics at Ecole Polytechnique and the Aramis Lab at the Paris Brain Institute.


    I love using my mathematical & coding skills to create impactful solutions where it matters most. Beyond medical applications, I have developed tools and shared my knowledge in projects with motivating and positive impacts


    Scientific Interests & Skills

    Applied Maths
    Machine Learning Deep Learning CNN Statistical Learning Riemannian Geometry EM-like Algorithms MCMC methods
    Coding
    C++ 14 Python Docker (compose) FastAPI Django Pytorch VueJS NodeJS scikit-learn
    Language
    French Ukrainian English

    Education

    Postdoctoral fellow
    Postdoctoral fellow
    2020 - 2021
    Development of methods to improve clinical trials for neurodegenerative diseases Paris Brain Institute - Inria
    Advanced Machine Learning Deep Learning Statistical Learning From Theory to Practice Python Library Clinical Trials
    PhD - ICM x CMAP x EDMH
    PhD - ICM x CMAP x EDMH
    2016 - 2020
    Statistical learning of spatio-temporal trajectories based on longitudinal data - application to neurogedenerative diseases. ICM - CMAP - EDMH
    Machine Learning Statistical Learning Riemannian Geometry Deep Learning MCMC Methods EM-like algorithms
    Master Data Science - Institut Polytechnique de Paris
    Master Data Science - Institut Polytechnique de Paris
    2015 - 2016
    Theoretical courses in maths, various machine-learning projects and hackathons-like sessions. Ecole Polytechnique, Université Paris-Saclay, Télécom Paris, ENSAE. Website.
    Advanced Machine Learning Convex optimization Deep Learning Statistical Learning Compressed Sensing Hackathons
    Master of Science in Engineering - Ecole des Ponts et Chaussées
    Master of Science in Engineering - Ecole des Ponts et Chaussées
    2012 - 2016
    Top engineering school (Grande Ecole) with a strong mathematical track. Website.
    Probabilities & Statistics Analysis Operational research Scientific computing Programming C++ Design Thinking
    Bachelor of Science in Applied Economics - Dauphine
    Bachelor of Science in Applied Economics - Dauphine
    2014 - 2015
    Applied Economics bachelor - Track for Grand-Ecole students
    Macroeconomics Microeconomics Econometrics
    Civil Engineering Internship - GeorgiaTech
    Civil Engineering Internship - GeorgiaTech
    2013 (5 months)
    Four months internship in a Civil Engineering Laboratory. Published paper : Comparison between geometrical and dynamic particle packing - presented at a Symposium in London

    Civil Engineering Numerical modeling Simulations
    Feel free to contact me !