Motonobu Kanagawa

Brief Bio: I have been an Assistant Professor (Maitre de Conférences) in the Data Science Department at Eurecom since September 2019.  I have also held a chair at 3IA Côte d’Azur since 2021. Previously, I was a research scientist with  the Chair for the Methods of Machine Learning at the University of Tuebingen (Oct 2018 - Aug 2019) and at the Probabilistic Numerics Group in the Max Planck Institute for Intelligent Systems (Sep 2017 - Sep 2018), working with Prof. Philipp Hennig. Before this, I was a postdoc (Apr 2016 - Aug 2017) and a PhD. student (Apr 2013 - Mar 2016) at the Institute of Statistical Mathematics, working with Prof. Kenji Fukumizu.

Research interests: Statistics, Machine Learning and Simulation

Simulation is a fundamental methodology for understanding complex systems. Examples of such systems appear in a variety of fields, such as geophysical and environmental sciences (e.g., climate, weather, and natural disasters), social sciences (e.g., economics, finance, and insurance), and engineering (e.g., aviation engineering, traffic engineering, and architectural engineering), where simulation has been widely used. However, the reliability of a simulation depends on several factors, such as how accurately the underlying model (e.g., differential equations) can approximate the system of interest, and how accurately the execution of the simulation (e.g., a numerical solution to the differential equations) can approximate the model. For a simulation to be reliable, these factors must be systematically and objectively validated, but doing so manually is challenging. 

Our objective is to develop statistical and machine learning methodologies for enhancing the reliability of simulation. As such methodologies themselves must also be reliable, we study mathematical theories to back the methodologies. Moreover, by cooperating with researchers and engineers from applied fields, we identify the needs in practice and develop tools that practitioners can easily use.

Contact Information

Eurecom, Data Science Department, Office 429

Campus SophiaTech, 450 Route des Chappes, 06410 Biot, France

Email: motonobu.kanagawa [CHAN]  (Please replace [CHAN] by @)


Academic Services

Antibes, September 2019

Tuebingen, April 2019