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Ph.D. student at MAP5 Paris Cité University, DIM MathInnov Oct 2018 – Sept 2021 Developing and applying a methodology to discover patterns hidden in Huntington model mice RNA-seq data

• Theoretical development: computational optimal transport theory

• Implementation: Sinkhorn algorithm, gradient descent algorithm, automatic differentiation for optimisation problem

• Large-scale simulation study, analysis of RNA-seq data Research engineer at MAP5 Paris Cité University, Caisse Centrale de Réassurance

Oct 2021 - Aug 2022

Predicting the cost of drought events in France

• Theoretical development: computational optimal transport theory

• Implementation: various machine learning algorithms (including Random Forest and Super Learner), gradient descent algorithm, automatic differentiation for optimisation problem, hyperband algorithm Teaching Assistant at UFR Maths-Info Paris Cité University Sept 2022 - Aug 2023

• 1st year course “Mathématiques et Calcul 1”: complex numbers, sequences, real analysis, linear algebra (120h)

• 1st year course “Mathématiques et Calcul 2”: integration, series, differential equations (72h) E ç ã®ÊÄ

Paris Paris Cité University Oct 2018 - Aug 2023

• Ph.D. Candidate in Applied Mathematics (Statistics, Data Science) Ph.D. advisors: O. Bouaziz and A. Chambaz (MAP5, UMR CNRS 8145, Paris Cité University) Paris Sorbonne Paris North University Sept 2016 - Jul 2018

• M.Sc. Master of Science in Mathematics, GPA: 18/20 (first year) and 16.25/20 (second year) Ha Noi VNU University of Science, Ha Noi Sept 2012 - May 2016

• B.S. Bachelor of Science in Mathematics. GPA: 3.59/4 R Ý Ù « Pç ã®ÊÄÝ

• L. Mégret, C. Mendoza, M. Arrieta Lobo, E. Brouillet, T. T. Y. Nguyen, O. Bouaziz, A. Chambaz, and C. Néri. Precision machine learning to understand micro-RNA regulation in neurodegenerative diseases. Frontiers in Molecular Neuro- science, 15, 2022 (PDF available here)

• T. T. Y. Nguyen, W. Harchaoui, L. Mégret, C. Mendoza, O. Bouaziz, C. Neri, and A. Chambaz. Optimal transport-based machine learning to match specific patterns: application to the detection of molecular regulation patterns in omics data. Mar. 2023 (preprint, submitted, PDF available here)

• T. T. Y. Nguyen, G. Ecoto, and A. Chambaz. Making sparse predictions, and anticipating the requests of declaration of natural disasters for a drought event in France (ongoing work, preprint soon available) A ®ã®ÊÄ EøÖ Ù® Ä Ä Aó Ù Ý

• EU ERASMUS+ Programme Scholarship, Master Program at Université Sorbonne Paris Nord, France

• Honorable Mention Award in Mathematics, Second prize in Vietnam Mathematics National Olympiad L Ä ç Ý Ä T «ÄÊ Ê ® Ý

• Vietnamese, English, French

• Python (pytorch, pandas, tensorflow, keras, scikit-learn, ...), MATLAB, R, SQL, Tableau, Excel