I am fascinated by the emergence of complex systemic behavior which arises from the interactions of simple elements. Examples include human cognition arising from neurons and synapses; cellular regulatory processes arising from proteins and RNA; flocking patterns arising from birds and fish; and societies arising from individuals. There is currently no universal method to understand or predict such complex, emergent behaviors. I am developing a candidate method based on information theory. I work on various types of applications in various collaborations, including the immune system, health and well-being, finance, and psychopathology, in the hope of transferring knowledge across domains as well as identifying universalities in their emergent properties.
My main thread is using information theory to better understand the behavior of complex dynamical systems.
Computational science combines mathematical modeling and computer simulations to make predictions about real-world phenomena.
Workshops, conferences, special issues, committees, editorial boards.
I am a Research Fellow in the Institute of Advanced Studies in Amsterdam, where I contribute a complex systems perspective to various meetings and diverse application domains.
I was invited as a Visiting Scholar for a 2-month visit to the Yale University's School of Medicine to work together with Smita Krishnaswamy on causality inference in high-quality gene regulatory data (July-August 2017).