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 ​We are fundamentally intrigued by living systems. Since cells are the fundamental units of life we focus on developing and applying experimental and computational techniques for decoding the dynamics of cellular regulatory circuits. To increase the resolution of those circuits our current focus is on single cell genomics using cell culture experiments and computational techniques.
This is relevant for addressing vital questions related to the control of cellular identity, reprogramming of cells, as well as biomedical applications.
On the theory side this endeavor requires new algorithms and machine intelligence approaches for essentially extracting the fundamental equations encoding causality directly from data. Living systems have a stunning capacity to learn, represent, predict, and in extension “understand” their local world(s) over time. In our work we believe that evolved solutions in nature can provide fresh clues on how to design new powerful intelligent hybrid computational systems.