Development produces reproducible patterns of synaptic connectivity. Our goal is to understand how this emerges from dynamical processes that unfold over time and are implemented across multiple interacting levels of biological organization.
Our fundamental premise is that the information giving rise to this outcome is not stored in any single place. It is distributed across gene regulatory networks, molecular players, and cell behaviors, and it is not static. Each developmental moment constrains and enables the next, and the sequence in which events unfold is itself part of the program. In this sense, temporal ordering is not merely descriptive; it is part of the mechanism. Time acts as an organizing variable in the system, not a passive background.
We investigate brain development under this framework, from cell fate specification to the emergence of synaptic connectivity.
To address this problem, we combine multiome profiling (scRNA-seq and scATAC-seq) with advanced genetics and CRISPR-based perturbations to study the differentiation of eight subtypes of motion direction–selective neurons in the Drosophila optic lobe. These neurons originate from two well-characterized progenitor pools (Pinto-Teixeira et al., Cell, 2018), providing a tractable developmental framework to to investigate how fate-specification programs operating in neuroprogenitors install terminal differentiation programs in post-mitotic neurons.
In collaboration with the Özel Lab at Stowers Institute, Kansas City.
For a synapse to be functional, the neurotransmitter receptor expressed in the postsynaptic neuron must match the neurotransmitter used by the upstream presynaptic neuron. A central challenge in neuroscience is to understand how synaptic components are timely expressed to match dynamics of circuit assembly. Addressing this problem has been hindered by the lack of systems that allow subcellular resolution in vivo.
We tackle this question by analyzing the temporal dynamics of neurotransmiter receptor protein expression during circuit assembly in the dendrites of T4 motion direction–selective neurons in Drosophila.
In collaboration with the Besse Lab at iBV.
We investigate the neural substrates of visual motion processing in Drosophila using custom-built virtual reality (VR) setups. We aim to determine how specific variations in synaptic connectivity shape spontaneous behavior and drive long-term behavioral plasticity.
In collaboration with the Wystrach lab at CBI.
In this project, led by our collaborator Guillaume Isabel, our specific contribution is to identify the visual neurons involved in mate-copying, and the interneurons linking them to the mushroom body, a central brain structure for memory formation and sensory integration. This contribution will provide critical insights into how visual cues shape social learning, advancing our understanding of the neural mechanisms underlying mate choice.