I am always glad to have an invited talk about my researches about the following topics (write me an email to masahiroryo at gmail dot com):

1) Machine learning application in ecology (cf. Ryo in prep; Ryo et al. 2019; Ryo et al. 2018; Ryo & Rillig 2017);

2) Multiple threats of global change (Rillig &Ryo -equal contribution- et al. 2019, Science);

3) Temporal dynamics in ecology (Ryo et al. 2018, Trends in Ecology and Evolution).

1. Temporal Dimension and Diversity of Multiple Stressors, 60 min, Lecture Series at Universität Koblenz–Landau, Germany (Sep 2020).
2. Thinking about the Role of Machine Learning in Ecological Modeling, Integrative Advancement of Statistical Modeling on Ecological Data, The Institute of Statistical Mathematics, Tokyo, Japan (Jan 2020).
3. Multiplicity of Global Change Factors as an Emerging Threat, Tokyo Institute of Technology, Japan (Oct 2019).
4. Introduction to machine learning in R. Invited by the Student Council, International Society for Computational Biology, Luxembourg (October 2019)
5. No more statistics? Frontiers in data analysis with machine learning. Invited talk at 23rd conference of Japan Ecological and Civil Engineering Society, Hiroshima, Japan (September 2019)
6. Recent advancement in machine learning. The Helmholtz Center for Environmental Research GmbH, Halle, Germany (February 2019)
7. Machine learning for spatial ecology. Technische Universität Berlin, Germany (June 2018)
8. Statistically-reinforced machine learning. University of Potsdam, Germany (March 2018)
9. Statistically-reinforced machine learning. Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Germany (February 2017)
10. Big-data era: Data-intensive approach to highly complex ecosystems towards effective environmental management. Tokyo Institute of Technology, Japan (March 2016)