研究ユニット

大進化（マクロ進化）と生物多様性を対象に、化石・魚類・バイオメカニクス・系統解析・理論モデルを統合する理論主導型研究室です。

The Solar-Terrestrial Environment and Climate Unit aims to deepen our understanding of the Sun, its surrounding environment, and their impacts on Earth’s weather and climate.

当ユニットでは、我々が現在直面する様々な環境変動が、植物の共生菌や病原菌および炭素や窒素などの物質循環を駆動する土壌微生物に与える影響を、分子生物学および化学的手法を組み合わせて研究しています。

海洋気候変動ユニットでは、気候変動、熱波、乱獲、都市化などの環境の変化にサンゴ礁魚類がどのように適応しているかを明らかにする研究を行っています。

The Marine Physics and Engineering Unit advances the forecast of ocean dynamics and the development of hydrodynamic disaster mitigation alternatives, paving the way for novel ocean technologies.

The biological nonlinear dynamics data science unit investigates complex systems explicitly taking into account the role of time. We do this by instead of averaging occurrences using their statistics, we treat observations as frames of a movie and if patterns reoccur then we can use their behaviors in the past to predict their future. In most cases the systems that we study are part of complex networks of interactions and cover multiple scales. These include but are not limited to systems neuroscience, gene expression, posttranscriptional regulatory processes, to ecology, but also include societal and economic systems that have complex interdependencies. The processes that we are most interested in are those where the data has a particular geometry known as low dimensional manifolds. These are geometrical objects generated from embeddings of data that allows us to predict their future behaviors, investigate causal relationships, find if a system is becoming unstable, find early warning signs of critical transitions or catastrophes and more. Our computational approaches are based on tools that have their origin in the generalized Takens theorem, and are collectively known as empirical dynamic modeling (EDM). As a lab we are both a wet and dry lab where we design wet lab experiments that maximize the capabilities of our mathematical methods. The results from this data driven science approach then allows us to generate mechanistic hypotheses that can be again tested experimentally for empirical confirmation. This approach merges traditional hypothesis driven science and the more modern Data driven science approaches into a single virtuous cycle of discovery.

生物多様性・複雑性研究ユニットは、生態学的・進化的プロセスがどのように生物多様性を生み出し維持しているのか、また、それらのプロセスが人間活動によってどのように変化しているのかを探っています。

生息地の喪失・外来種・気候変動がもたらす影響を予測し管理するためには、これらのストレス要因に対する個体群の反応をより深く理解する必要があります。そのために、統合...

私たちは、非線形、非平衡、ソフトマター物理学を実験・研究しています。現在の研究テーマは、流体、粒状媒質、自然エネルギーの変動性、定量的生命科学です。