Graduate Students

Using in vivo calcium imaging and computational models to investigate how spatial cognition arises from sensory inputs.

Using dynamical-systems and geometric-AI tools to better understand human intelligence

Dendritic integration in inhibitory interneurons

Using brain organoids and human samples to study memory and consciousness

Uncovering the higher visual areas, connectivity, and encoding principles supporting visual object recognition.

Neural circuits underlying predictive behaviors during pursuit

The effects of enhancing vector control efficiency by modulating Aides Aegypti lifespans

Examining molecular pathways in neurodegenerative diseases using functional genomics approaches.

Investigating how the Drosophila fly's central brain integrates different types of sensory information to direct navigation.

Circuitry of sensory systems

Investigating how the invertebrate brain converts visual information into a usable form for direction and orientation.

Visual processing and spatial representations.

Understanding the molecular mechanisms underlying insect sensation and behavior in Drosophila and Aedes.

Cortical implants for the blind

Utilizes advanced MRI methods to investigate alterations in structural integrity after brain injury.

Using the artificial neural network (ANN) paradigm to gain insights into properties of biological brains

Using Bayesian models and neural networks for visual networks for visual tasks.

System and Computational Neuroscience; elucidating the mechanisms of neural circuit underlying navigation in Drosophila

Developing tools to enable further advancements in the global effort towards neuronal code deciphering.

Exploring intrinsic neural circuit activity in human stem cell derived brain organoids using dense multi electrode arrays.

Neuronal mechanisms underlying chemotaxis in Drosophila larvae

Using data and math to model and understand feedback between the Heart and Brain in humans.