A human cortical organoid after 45 days in culture.

Mouse interneurons transplanted into a human cortical organoid.

Programming identity. Engineering circuits. Predicting dysfunction.

Our lab investigates how neuronal identity is established, how it shapes developing brain circuits, and how its disruption contributes to neurodevelopmental disorders. We integrate brain organoid models, computational tools, and functional assays to address these questions across three research directions:

Programming Neuronal Identity

We study how intrinsic genetic programs and extrinsic environmental cues guide the emergence of neuronal subtypes during cortical development. Our approach focuses on identifying points of divergence in identity acquisition between in vivo and in vitro systems and developing strategies to restore or redirect these trajectories. We use transcriptomic models to classify developing neurons and design interventions to modulate identity over time. These efforts provide a foundation for engineering organoid systems with enhanced subtype diversity and developmental fidelity.

Testing Cell-Type Contributions to Circuit Assembly

We seek to understand how specific neuronal populations contribute to the emergence of functional circuits. By introducing defined cell types into developing systems, we evaluate their influence on circuit dynamics using functional recordings and computational metrics of activity. We are also developing integrated methods to link molecular and physiological properties within the same experimental samples. These studies aim to reveal how cellular diversity, timing, and environment converge to shape functional brain networks.

Predicting Circuit Disruption from Multimodal Perturbations

We are building machine learning frameworks that integrate transcriptomic and electrophysiological data to predict how genetic and chemical perturbations alter circuit function. Using a combination of large-scale datasets and targeted profiling, we train models capable of forecasting the functional consequences of disease-relevant mutations or treatments. This work enables scalable interpretation of diverse perturbations and supports the development of predictive models for neurodevelopmental disorders.

Building a Global Scientific Community Through Technology and Diplomacy

Beyond our core research, we are committed to fostering diverse and inclusive scientific communities. We develop technologies to make experimental science education freely accessible worldwide, focusing on students traditionally underrepresented in the sciences. By leveraging the Internet of Things and Augmented Reality, we aim to democratize access to neuroscience education.

In an era where neurodevelopmental disorders and neurological diseases affect nearly 1 in 6 people globally, we propose that "neurodiplomacy" can be a crucial framework for international collaboration. By uniting neuroscience with bioengineering, AI, and global outreach, we seek to advance scientific discovery, improve education, and create meaningful cross-border partnerships that contribute to the Sustainable Development Goals.