Kevin Scaman
About Kevin Scaman
Kevin Scaman is a Research Scientist at Inria in Paris, specializing in machine learning and structured data analysis. He has held various research positions at notable institutions, including Microsoft and Huawei, and has a strong academic background in applied mathematics and artificial intelligence.
Current Position at Inria
Kevin Scaman has been working as a Research Scientist at Inria since 2021. His role involves conducting advanced research in the field of machine learning, particularly focusing on the interaction of machine learning with structured data analysis. He is based in Paris, Île-de-France, France.
Previous Experience at Microsoft Research
Kevin Scaman worked at the Microsoft Research - Inria Joint Centre as a Postdoctoral Researcher from 2016 to 2017. Prior to this, he held a position as a Software Engineer at the Microsoft Engineering Center in Paris for three months in 2013. His experiences at Microsoft contributed to his expertise in software development and research.
Educational Background
Kevin Scaman studied at École normale supérieure Paris-Saclay, where he earned a Doctor of Philosophy (Ph.D.) in Applied Mathematics from 2013 to 2016. He also completed a Master 2 in Machine Learning at the same institution from 2011 to 2012. Additionally, he obtained a Diplôme de l'Ecole Polytechnique in Applied Mathematics from 2008 to 2012 and a Double diplôme X-Télécom in Artificial Intelligence from Télécom Paris in 2011.
Research Focus and Contributions
Kevin Scaman's research primarily focuses on the analysis of data structures for machine learning applications. He investigates aspects such as spatial proximity, time dependency, and item correlations. His work includes predicting the outcomes of information cascades and improving low-dimensional representations of graphs, as well as identifying patterns from malware traces.
Experience at Huawei
Kevin Scaman worked at Huawei as a Senior Research Scientist for 11 months in 2018 and then as a Principal Research Scientist from 2019 to 2021. His roles at Huawei involved significant research contributions in the field of machine learning and data analysis, further enhancing his professional expertise.