Nature-Inspired Machine Learning (NIMI)

Deputy Group Leader
Nature-Inspired Machine Learning (NIMI)
Kossi Amouzouvi is a postdoctoral researcher and is involved in joint collaboration with Scads.AI and InfAI. He is by background a mathematician and holds a PhD in Density Functional Theory, from the University of the Witwatersrand, he is a member of Science in Mathematics, African Institute for Mathematical Sciences (AIMS – Ghana) where he did his master on Hochschild Cohomology and Deformation Theory, and his second master is on Mathematics, from his hometown, University of Lomé (Togo), with focus on Differential Geometry. He is focusing on representation learning and quantum machine learning.
Dr. Kossi Amouzouvi
Deputy Group Leader
Nature-Inspired Machine Learning (NIMI)
Kossi Amouzouvi is a postdoctoral researcher and is involved in joint collaboration with Scads.AI and InfAI. He is by background a mathematician and holds a PhD in Density Functional Theory, from the University of the Witwatersrand, he is a member of Science in Mathematics, African Institute for Mathematical Sciences (AIMS – Ghana) where he did his master on Hochschild Cohomology and Deformation Theory, and his second master is on Mathematics, from his hometown, University of Lomé (Togo), with focus on Differential Geometry. He is focusing on representation learning and quantum machine learning.
Publications
Deputy Group Leader
Nature-Inspired Machine Learning (NIMI)
Kossi Amouzouvi is a postdoctoral researcher and is involved in joint collaboration with Scads.AI and InfAI. He is by background a mathematician and holds a PhD in Density Functional Theory, from the University of the Witwatersrand, he is a member of Science in Mathematics, African Institute for Mathematical Sciences (AIMS – Ghana) where he did his master on Hochschild Cohomology and Deformation Theory, and his second master is on Mathematics, from his hometown, University of Lomé (Togo), with focus on Differential Geometry. He is focusing on representation learning and quantum machine learning.