Research Units

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.

The Cell Division Dynamics Unit studies the mechanisms of chromosome segregation and cell fate determination during mitosis with a focus on mitotic spindle assembly and positioning in cultured human cells and Medaka embryos.

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.

Using a mouse model, the Cell Signal Unit explores the cause of various diseases that include cancer, neuronal disorders, immunological diseases, and diabetes/obesity at the molecular level....

Developmental Neurobiology Unit uses zebrafish retina as a model to study mechanisms that control neuronal differentiation and circuit formation, and neuronal degeneration and regeneration.

The ECBS unit studies the effects of symbiotic interactions on the origin and evolution of cellular life.

The Marine Structural Biology Unit uses cryoelectron tomography and single particle cryoelectron microscopy to understand various aspects of coral biology in unprecedented detail.

We develop methods for single-molecule imaging and analysis, and apply them to unravel the mechanisms by which the cellular plasma membrane perform signaling and synaptic transmission.

The human body is composed of ~37 trillion cells, all of which are surrounded by a plasma membrane. We aim to understand the relationship between plasma membrane damage and multiple pathophysiological processes including aging.

The Molecular Neuroscience Unit investigates the mechanisms and consequences of the transport of information from the neuronal periphery to the center in health and disease.

Neural Circuit Unit studies motor circuits using various techniques such as molecular biology, mouse genetics, trans-synaptic viruses, optogenetic, and chemogenetic tools.