Matia Cwajgenbaum

Matia Cwajgenbaum has work experience in different roles and companies. In 2022, they worked as a Deep Learning Engineer at DermaDetect, where they were a part of the CTO team. Their responsibilities included training deep neural networks for disease classification in dermatology, managing and aggregating multi DNN agents predictions, and conducting extensive literature reviews on skin type estimation and debiasing techniques. From 2020 to 2021, they worked as a Research Engineer at CNRS, focusing on mathematical modeling in economics and epidemiology, optimal control applied to economics, and numerical simulations with Matlab. In 2019, they were an Oral Examiner at Prepa Emc2 Hadamard.

Matia Cwajgenbaum's education history begins with a Bachelor of Science degree in Mathematics from Pierre and Marie Curie University, which was obtained from 2013 to 2016. Following this, Matia pursued a Master's degree in Mathematical Modelling from Sorbonne Université from 2019 to 2020. In 2022, Matia completed a program in Data Science and Machine Learning at Israel Tech Challenge, although no specific degree was attained.