News | MSc in Industrial and Applied Mathematics - Grenoble

A word from the alumni : Enrico Agrippino

Mon, 10 Feb 2025 00:00:00 +0000

My name is Enrico, I joined M2 SIAM as Erasmus student from Politecnico di Torino, in Italy, where I studied Mathematical engineering. I chose to pursue the double degree program with M2 SIAM because I wanted to have an international university experience in France, and SIAM offers a good combination between mathematical theoretical knowledge and hands-on IT projects. I had my internship at Amadeus, in Sophia Antipolis, where I was then hired as a permanent employee and where I am currently working as a Data Analyst. I would highly recommend SIAM Master as it prepared myself in the best way to the working environment, with a strong theoretical knowledge and a good practice of working in teams developed during the university projects During my semester in the M2 SIAM program in Grenoble, I took courses that allowed me to explore various topics in machine learning and discover state-of-the-art work being done in this field. I was able to complete projects on real-world data and work with experts on how to solve various issues using machine learning and data science methods. It was a great experience to collaborate with people from all over the world and from different academic backgrounds.

For these reasons, I strongly recommend the M2SIAM program, especially for international students.

A word from the alumni : Maxime Renard

Mon, 10 Feb 2025 00:00:00 +0000

My name is Maxime Renard, former M2 SIAM student, currently doing a PhD in the Laboratoire Jean Kuntzmann (LJK) on Grenoble Alpes campus dealing with fluid mechanics modelling for biology. It is the same laboratory as the one I did my M2 SIAM internship in, about a related topic. Before attending this M2, I followed a Bachelor Degree in Informatics and Mathematics (“IMA” track in UGA), and the M1 Applied Maths, which could be seen as a dive into how mathematics are used in our lives.

This made me fall in love with applications, ranging from biology to physics, through seismology and climate study, explaining I chose the M2 SIAM to end this Master. I consider this M2 as a great opportunity; thanks to the projects to produce, the research papers to read and the oral presentations to perform, I really got to learn and play with deep topics, touching direct everyday life applications, such as shape optimization, modelling, signal processing, developing efficient simulation code etc. This Master was overall a knowledge widening experience, I wish everyone could attend.

A word from the alumni : Mariya Gorpinich

Mon, 20 Jan 2025 00:00:00 +0000

My name is Mariya Gorpinich, I’m currently have a CIFRE PhD contract with Valeo Group and École nationale supérieure d’Arts et Métiers. My area of research is physics-informed machine learning. My end-of-studies internship was also at Valeo. I chose the M2 SIAM master’s degree because of its variety of high-quality courses on machine learning and computer science. Before my master’s studies, I finished my bachelor’s studies at the Moscow Institute of Physics and Technology. I recommend the M2 SIAM master’s degree to anybody interested in the field of machine learning and computer science.

A word from the alumni : Julien Lalanne

Mon, 13 Jan 2025 00:00:00 +0000

My name is Julien Lalanne, and I graduated from the MSIAM Master’s program in 2023, earning a double diploma with ENSIMAG. During my studies,I completed an internship at the NationalInstitute of Informatics in Tokyo, which greatly enriched my experience.For the past year, I have been working at TotalEnergies,focusing on soil parameter prediction for wind farm foundation design. Soon, I will begin a Ph.D.in conditional generative models for 3D high-frequency data.I chose this Master’s program to advance my expertise in Deep Learning, and I highly recommend it to students aiming to excel in data science.

A word from the alumni : Julien Prando

Mon, 06 Jan 2025 00:00:00 +0000

My name is Julien Prando, and I am currently a PhD student at the Laboratoire Jean Kuntzmann (LJK) at Université Grenoble Alpes in France. My PhD thesis is entitled ”Distributionally Robust Shape Optimization Problem,” which builds upon the master’s internship I completed in the same laboratory, focused on ”Distributionally Robust Optimization.” Prior to my PhD, I completed a Master’s program with a strong foundational background: first with an ”M1 Maths Générales” year, followed by the ”M2 Préparation à l’Agrégation.” This path culminated in obtaining the Agrégation in Mathematics. Following this achievement, I decided to pursue further studies in Applied Mathematics. I chose the MSIAM program because it offers the opportunity to explore a wide variety of fields, allowing me to find my area of interest in order to pursue into a PhD thesis. I highly recommend this master’s program; both the practical and theoretical courses are of outstanding quality.

A word from the alumni : Sophie Christine Stelmach

Mon, 09 Dec 2024 00:00:00 +0000

My name is Sophie and I am from Toronto, Canada. I participated in a double-degree masters program with my host university, McMaster University, and ENSIMAG.

During my semester in the M2 SIAM program in Grenoble, I took courses that allowed me to explore various topics in machine learning and discover state-of-the-art work being done in this field. I was able to complete projects on real-world data and work with experts on how to solve various issues using machine learning and data science methods. It was a great experience to collaborate with people from all over the world and from different academic backgrounds.

For these reasons, I strongly recommend the M2SIAM program, especially for international students.

Quantum Information & Dynamics

Thu, 27 Oct 2022 00:00:00 +0000

New teaching unit starting in September 2023 [Quantum Information & Dynamics]({{ < ref “../M2SIAM_UE/GBX9AM88.md” > }} “Quantum Information and Dynamics”)