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東京大学国際高等研究所ニューロインテリジェンス国際研究機構 特任研究員 My research interest is located in between artificial intelligence, cognitive psychology, and computational neuroscience. In my research I aim to explore the computational principles in the brain to foster our fundamental understanding of the brain’s mechanisms but also to exploit them in developing intelligent systems. In particular, I look into the processes in the brain that form representations in multi-modal integration up to in acquisition of complex cognitive functions. As a central approach I model artificial neural networks, specifically continuous time recurrent neural networks (CTRNNs) and convolution neural networks (CNNs) on tasks in machine learning, natural language processing, and developmental robotics. A particular current focus is on dynamic timescales mechanisms in networks as well as on variational and approximate Bayesian learning schemes. |
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経歴
職歴
2020年3月−現在 | 東京大学国際高等研究所ニューロインテリジェンス国際研究機構 特任研究員 |
2016年4月−2019年12月 | Postdoctoral Research Associate (TRR CML project) with the Knowledge Technology Research Group, Department of Computer Science, University of Hamburg, Germany |
2010年5月−2016年3月 | Research and Teaching Associate of Knowledge Technology Research Group, Department of Computer Science, University of Hamburg, Germany |
2006年6月−2010年3月 | Student Assistant as Developer and Programmer (PSI/REX Simulation Framework Project) of Institute of Polymer Engineering, University of Paderborn, Germany |
学歴
2016年6月 | PhD degree in Computer Science (German Doktor der Naturwissenschaften / Doctor rerum naturalium), Department of Computer Science, University of Hamburg, Germany |
2009年10月 | Master degree in Computer Science (German Diplom-Informatiker), subsidiary subject: Psychology, Department of Computer Science, University of Paderborn, Germany |
教育経験
2011 – 2019 | Thesis supervision: 8 MSc, 13 BSc |
2011 – 2019 | Seminar supervision: Bio-inspired Artificial Intelligence, Neural Networks |
WS 2011/12 – 19 | Project Human–Robot Interaction, every year |
2013 – 2016 | Support lecture development: Data Mining |
2011 – 2016 | Support lecture development: Neural Networks |
WS 2010/11 – WS 2015/16 | Proseminar Artificial Intelligence, every semester |
WS 2015/16 | Integrated Seminar Knowledge Processing for Intelligent Systems |
SS 2014 – SS 2015 | Practical tutorial Data Mining, every year |
WS 2010/11 – WS 2012/13 | Practical tutorial Foundations of Knowledge Processing, every year |
SS 2013 | Integrated Seminar Knowledge Processing with Neural Networks |
SS 2012 – SS 2012 | Tutorial Formal Foundations of Computer Science 1, every year |
WS 2010/11 – SS 2011 | Project Learning and Helping Robots |