About

Martin Perier-Dulhoste is a highly skilled Machine Learning Research Engineer with over 5 years of relevant experience in the field. He is currently working at InstaDeep Ltd, where he is involved in applying Deep Learning to biology for neoantigen prediction. Martin's expertise lies in Research Science, Machine Learning, Deep Learning, Natural Language Processing (NLP), and Web development. Prior to joining InstaDeep, Martin worked as a Data Scientist at Collective Thinking, where he designed and productionized multimodal deep learning models for ICD 10 coding. He also built a template detection module based on unsupervised algorithms to adapt the data extraction from medical documents depending on their type. Additionally, Martin optimized the input pipeline using the latest Tensorflow features and enabled up to 10 times speed-up of training models. He also computed embeddings of medical concepts based on a given taxonomy to represent categorical features of high cardinality and capture similarities between concepts. Martin introduced and encouraged coding standards and set up a workflow to organize the process of product features development, including issue management, pre-commit, git commit standards, git workflow, and more. Martin also worked as an Agile Web Developer at Theodo, where he built tailored software that solved clients' most complex problems. He specialized in building tailor-made, scalable web applications in record time using open-source frameworks like Symfony, Angular, React, and Node. Martin dedicated himself fully to the success of his clients, working as partners. Martin holds a degree in Supélec Engineering Program from Centralesupélec and an MSc in Applied Mathematics from Imperial College London. He also completed PSI* from CPGE Lycée Saint Louis - Paris 6e and MPSI from CPGE Lycée Buffon - Paris 15e. Martin's tech stack includes Research Scientist, ML, Deep Learning, NLP, Web, Data Scientist, Tensorflow, and AngularJS. Overall, Martin is a highly skilled and experienced Machine Learning Research Engineer with a proven track record of success in the field. He is passionate about using his skills to solve complex problems and drive innovation in the industry.