Dale moved from Atlanta, GA to Bethesda, MD as a child, blowing his chance at becoming a true southern gentleman. As consolation, he was awarded dual degrees and 3rd place in a campus-wide table tennis tournament by the University of Maryland. Weighing his prospects as a professional athlete, he decided to train at the National Institute of Mental Health in neuroscience. On occasion, Dale tried to escape his ever-northward destiny. One summer, he reportedly biked west across the U.S., traveling from Maryland to Oregon to help fight cancer. But his efforts proved fruitless; Dale moved north again to Philadelphia and joined Penn's Neuroscience Graduate Group. He yearns to one day search for research positions in all cardinal directions. Outside of lab, Dale enjoys reading, music, art, gaming, hiking, and maintaining lists of exciting future hobbies.
Throughout life, we might seek a calling, companions, skills, entertainment, truth, self-knowledge, beauty, and edification. In this review, we describe how the practice of curiosity can be viewed as an extended and open-ended search for valuable information with hidden identity and location in a complex space of interconnected information. We propose how a computational model of efficient search can be used to bridge curiosity, cognitive maps, and model-based reinforcement learning.
We develop and test a theory of how brain network architecture and biology perform lossy compression to support efficient communication among spatially distributed brain regions. Our framework adapts the mathematics of information theory to understand the limits of sending and receiving packets of information with individually varying speed and reliability across white matter pathways of differing integrity. Longer pathways distort information flow, so brain regions with higher transmission fidelity send and receive packets with greater rate and reliability as a function of network topology prioritizing shortest paths. Our model parsimoniously explains communication as a function of network complexity, how highly connected hub regions integrate information, and the speed and accuracy of behavior.
The hippocampus and its small subregions are areas of the brain that play an integral role in memory. Our study leveraged new brain imaging methods to study these small subregions and their relation to memory impairment in childhood-onset schizophrenia patients. We found evidence of disrupted morphometric structure (i.e. tissue contraction) associated with impaired memory. If further research corroborates these findings, the specific structural links to memory impairment could inform targeted clinical interventions.
We provided evidence of a new genetic mutation associated with childhood-onset schizophrenia; specifically, the duplication of the 15q13.3 chromosomal region. Our findings hold import to affected families and their genetic counselors, for whom incomplete penetrance and variable expressivity of these mutations offer substantial challenges. In previous research, the affected genes normally encode neuronal channel receptor proteins which were related to schizophrenia symptoms when mutated. Further research on gene dosage and downstream effects of this mutation may enhance understanding of contributing factors to schizophrenia and improve assessments of genetic risk.
cleanBib     Code that can be run in your internet browser to analyze how you engage with and cite the research of colleagues across gender and race.
Penn Network Visualization Program     Summer workshop for high schoolers and undergraduates, working with invited artists and professors from around the nation at the intersection of art, design, science, and networks.