Welcome to my personal page :)
Short bio : I am an Applied Scientist at Tiime Software, where I work on Generative AI applications for the accounting domain. Prior to this, I obtained my PhD in Machine Learning at Grenoble Computer Science Laboratory, University Grenoble Alpes under the supervision of two amazing people Denis Trystram and Nguyen Kim Thang.
In the summer 2023, I was a Visiting Researcher at EPFL, where I worked on Knowledge Distillation and Federated Learning. I hold Master's degree in Random Modelling from the University Paris Diderot and a Bachelor's Degree in Mathematics from Sorbonne University
Currently, I'm interested in multi-agent systems, optimization/machine learning and reinforcement learning.
Feel free to contact me at : tuan-anh.nguyen@tiime.fr
Office Location :
15 Rue Auber
75009 Paris, France
News
Feb 2025 - My thesis manuscript is officially online, you can check it out here
October 2024 - I recently joined the GenAI team at Tiime Software where we will focus on building AI-powered algorithm for the accounting domain.
October 2024 - My PhD defense will take place on the 23rd October 2024 at Maison Jean Kuntzmann, amphitheater Jean Kuntzmann, University Grenoble-Alpes. The defense will start at 2pm.
July 2024 - I will give a few introductory lectures on AI at the GINSEN Summer School, organized by MIAI and Grenoble INP. The topics will span general machine learning, some basic neural network architectures and transformer.
May 2024 - Our research paper "Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free approach" has been accepted to #ECMLPKDD2024. See you in Vilnius this September.
May 2024 - Our paper on "Cohort Parallel Federated Learning" is available on arxiv.
May 2024 - We successfully organised the 16th edition of "New challenges in scheduling theory" seminar, Aussois, France.
Dec 2023 - I gave a presentation on online optimization in distributed setting during the Frugal AI Workshop in Grenoble.
Nov 2023 - I participated in the FedMalin seminar in Nice, gave a small talk on online distributed learning.
Sep 2023 - Talk at Inria-EPFL workshop about knowledge distillation in Federated Learning.