IICD Welcomes 5 Interns with the Alliance Program
The Irving Institute for Cancer Dynamics (IICD) collaborates once again with the Alliance Program to welcome five new interns from April to July 2024. These interns, hailing from École Polytechnique, will have the opportunity to work in the labs of Drs. Elham Azizi, Khanh Dinh, and Simon Tavaré.
The Alliance Program, initiated in 2002, serves as a collaborative effort between Columbia University and three prominent French higher education institutions: École Polytechnique, Sciences Po, and Paris 1 Panthéon-Sorbonne University. Its primary objective is to facilitate the exchange of students, research scholars, and resources while nurturing academic collaborations among the participating institutions. With an annual lineup of approximately 40 programs spanning seminars, panel discussions, conferences, and more, Alliance fosters intellectual discourse and collaboration across a diverse array of topics, hosting events in both Paris and New York and engaging with 60 centers and institutes.
Léa Bohbot is pursuing studies in applied mathematics at École Polytechnique. With an interest in statistics and machine learning, she will be working in Elham Azizi’s group. Léa is enthusiastic about leveraging machine learning and statistical modeling techniques to extract insights from biological data.
Tess Breton specializes in applied mathematics and computer science, with a focus on statistics and machine learning applied to healthcare. Tess is excited to contribute to cancer research at IICD under the mentorship of Khanh Dinh and Simon Tavaré.
Marc Chevrière specializes in applied mathematics and data science. Marc aims to study the spatial organization and dynamics of gene regulation. While his previous research experience involves data science applied to neuroscience, he looks forward to developing a deeper understanding of biological research. He will be working under the mentorship of Elham Azizi.
Madeleine Hueber is currently pursuing a master's degree in Applied Mathematics. She is focused on Cancer Evolution and Statistical & Probabilistic Modeling. Her project involves developing a mathematical model that integrates the evolution of single nucleotide variants (SNVs) and copy number alterations (CNAs). She will be under the mentorship of Simon Tavaré and Khanh Dinh.
Habibi Mohammed-Yassine has a background in applied mathematics and physics. He has recently taken courses on stochastic models applied to biology which has piqued his interest in this field. He is eager to explore the applications of statistical modeling and understanding of cancer evolution under the guidance of Simon Tavaré.