Pierre M.

Pierre M. has a diverse range of work experience in the fields of machine learning, data science, bioinformatics, and molecular genetics. Pierre'smost recent position was as a Machine Learning Engineer at Data Revenue GmbH, where they began in September 2022. Prior to that, they worked as a Jr. Machine Learning Engineer at the same company from January 2021 to September 2022.

Before joining Data Revenue GmbH, Pierre worked at EXCELYA as a Data Scientist from November 2019 to November 2020. During this time, they contributed to a machine learning classification project predicting patients' retention to a specific drug. Pierre'swork on this project was featured in the American College of Rheumatology (ACR) and AI for Health conferences. Pierre also explored and processed clinical trials data.

Pierre gained experience as a Bioinformatics Data Scientist during their 6-month Master's internship at Harvard Medical School in the Genetics Department from March 2018 to August 2018. Pierre focused on using machine learning algorithms to improve the CRISPR sgRNA design pipeline for the Drosophila RNAi Screening Center (DRSC).

Earlier in their career, Pierre worked as a Bioinformatician for two months at Pierre and Marie Curie University in 2017. There, they contributed to the development of a machine learning pipeline to detect expression signals in complex datasets.

Pierre also gained experience as a Bioinformatician through an internship at the Museum national d'Histoire naturelle from April 2016 to July 2016. Pierre'swork focused on comparative genomics characterization of Salmonella enterica serovar Dublin strains implicated in osteo-articular infections.

In addition, Pierre had a two-month internship as a Molecular Geneticist at CNRS in 2015. Pierre was involved in studying the genetics and lipid metabolism of Drosophila and conducted genetic marker recognition, crossbreeding techniques, and spectrophotometry analysis.

Before starting their professional career, Pierre held various student jobs, including part-time English teaching and babysitting, as well as summer jobs. These experiences helped him develop organizational and human skills.

Overall, Pierre M. has a strong background in machine learning, data science, bioinformatics, and molecular genetics, with experience in both academic and industry settings.

Pierre M. earned a Master's degree in Bioinformatics from Paris-Sud University (Paris XI) between 2015 and 2018. Prior to that, they completed their Bachelor's degree in Molecular Genetics at UVSQ Université de Versailles Saint-Quentin-en-Yvelines from 2011 to 2015. In terms of additional certifications, Pierre obtained the "Databases and SQL for Data Science" and "Neural Networks and Deep Learning" certifications from Coursera in November 2020. Pierre also holds a Youth Animator Certificate (BAFA) granted by the Ministère de la Ville, de la Jeunesse et des Sports in November 2012.