Research Units

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Cellpro

Cell Proliferation and Gene Editing Unit

Every day, millions of cells divide to sustain essential tissue functions. Errors in this process can lead to developmental disorders or cancer. Our research focuses on the molecular mechanisms of cell division and quality control in both normal and cancer cells, aiming to uncover how cells maintain genomic stability and regulate proliferation. By integrating high-throughput imaging, gene editing, and genome-wide screening, we seek to expand our understanding of these fundamental processes and how their dysregulation contributes to cancer. Our lab is driven by a curiosity-based approach, grounded in the belief that fundamental research is essential for uncovering the principles that govern life. By investigating the intricate mechanisms controlling cell division, genome maintenance, and cellular quality control, we aim to reveal how these processes go awry in cancer. Through this knowledge, we strive to identify cancer-specific vulnerabilities, discover novel biomarkers, and open new avenues for targeted therapeutic strategies.
Photo of Franz Meitinger

Franz Meitinger

Assistant Professor

Robot raising arms

Cognitive Neurorobotics Research Unit

The Cognitive Neurorobotics Research Unit is dedicated to investigating the principles of embodied cognition by conducting experimental studies in synthetic neurorobotics. The primary goals of our research are to understand:on how innate structures can be leveraged to develop cognitive constructs through iterative but limited behavioral experiences; how primary intersubjectivity in social cognition can be formed through enactive and contextual interactions with others; and how subjective experiences such as consciousness and free will can be scientifically and phenomenologically explained. In addition, our developmental neurorobotics approach is intended to uncover the underlying mechanisms of neurodevelopmental disorders, such as schizophrenia and autism. Through these researches, we can expect to deepen our ontological understanding of human beings, rather than simply creating another smart machine-learning robot.
Photo of Jun Tani

Jun Tani

Professor

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