Hamid Jalalzai
About Hamid Jalalzai
Hamid Jalalzai is a postdoctoral researcher specializing in machine learning at Inria, where he has worked since 2021. He has a diverse background in data science and mathematics, having held various research and internship positions in France and abroad.
Work at Inria
Hamid Jalalzai has been working at Inria as a Postdoctoral Researcher in machine learning since 2021. In this role, he focuses on advanced research in machine learning methodologies. He also mentors a PhD student, contributing to the academic development of emerging researchers in the field.
Previous Experience in Data Science
Prior to his current position, Jalalzai gained experience as a Data Science Intern at Meteo France in 2013, where he worked for one month in Toulouse. He also interned at OpenClassrooms in 2015 for three months, and at Télécom Paris in 2017 for six months. These roles provided him with practical skills in data analysis and machine learning applications.
Education and Expertise
Hamid Jalalzai holds a Doctor of Philosophy (PhD) in Applied Mathematics from Institut Polytechnique de Paris. He completed his MSc in Data Science at École Polytechnique from 2016 to 2017. His educational background also includes a BSc and MSc in Mathematics and Statistics from INSA Toulouse from 2012 to 2016, and an Erasmus Exchange program at DTU - Technical University of Denmark from 2014 to 2015.
Research Contributions
Jalalzai has developed an attack method to retrieve training data from deep learning models. This research contributes to the understanding of data privacy and security in machine learning, highlighting the implications of model training and data usage.
PhD Experience at Télécom Paris
Jalalzai completed his PhD in machine learning at Télécom Paris from 2017 to 2020. This period involved in-depth research and development in the field, enhancing his expertise and preparing him for his current role in academia and research.