Steeve Laquitaine
About Steeve Laquitaine
Steeve Laquitaine is a Machine Learning and Data Science Expert currently working at Tessella in Oxfordshire, UK. He has extensive experience in artificial intelligence and computational neuroscience, with a strong academic background and multiple research positions at prestigious institutions.
Work at Tessella
Steeve Laquitaine has been employed at Tessella since 2019, serving as a Machine Learning and Data Science Expert. His role involves applying machine learning techniques and data science methodologies to solve complex problems. Tessella is known for its focus on technology and data-driven solutions, and Laquitaine's expertise contributes to the company's mission in these areas.
Previous Employment in Artificial Intelligence
Before joining Tessella, Laquitaine worked at Fundvisory as a Senior Research Scientist in Artificial Intelligence from 2018 to 2019. His responsibilities included conducting research and developing AI solutions. Prior to that, he held various positions at Stanford University, including Research Associate and Postdoctoral Researcher, where he focused on advanced research in machine learning and data science.
Education and Expertise
Laquitaine studied Computer Science, Business, and Business Marketing at Stanford University in 2016. He also holds a Doctorate in Philosophy with a focus on Philosophy and Neuroscience from Collège Sciences De L'homme, Université De Bordeaux, completed between 2007 and 2010. His educational background supports his expertise in high-performance computing and computational neuroscience.
Research Contributions and Publications
Steeve Laquitaine has made significant contributions to the fields of computational neuroscience and artificial intelligence, with three scientific publications to his name. He has delivered eight talks and presented twelve conference posters at various international venues, including France, Israel, Japan, and the USA, showcasing his research findings and insights.
Teaching Experience
Laquitaine has spent two years teaching at the university level, contributing to the academic development of students in his field. His teaching experience complements his research background and enhances his ability to communicate complex concepts effectively.