Borner, Tito
Assistant Professor of Biological Sciences
The whole of his research career focuses on deepening our understanding of how nerve cells control food intake under both normal physiological conditions and when conditions go awry, such as when disease sets in. His overarching research goal is to investigate and identify the components and pathways within the central nervous system that mediate anorexia (loss of appetite), nausea, vomiting (emesis), and weight loss in pre-clinical models. This exploration focuses on understanding how these symptoms manifests after various diseases and, importantly, how they can be prevented, which special emphasis on chronic conditions such as cancer and diabetes.
Ching, Christopher
Assistant Professor Of Research Neurology
Dr. Ching’s research focuses on neuroimaging and genomic markers of psychiatric and neurodegenerative disorders. As a core organizing member of the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium, he designs and implements standardized processing and analysis techniques for large-scale neuroimaging studies. He leads the ENIGMA Bipolar Disorder Working Group, an effort pooling data and resources from around the world to improve our understanding of the biological processes driving bipolar disorder, and studies rare copy number variants like 22q11.2 Deletion Syndrome to understand how genetic mutations can lead to increased risk for developing psychiatric illness. He leads several large-scale transdiagnostic neuroimaging and genomic initiatives using machine learning to map common and distinct brain and clinical factors across mental illnesses.
Dias, Brian George
Associate Professor of Developmental Neuroscience & Neurogenetics
Our research seeks to understand not only how mammalian neurobiology, physiology and reproductive biology is impacted by psychosocial and nutritional stress but also how parental legacies of such stressors influence offspring. To achieve this understanding, we employ a lifespan approach to study how stressors affect: sperm/egg/embryo (pre-conceptional stress), the gestating fetus (in utero stress), and the developing infant (post-natal stress). Our experimental approaches include assaying learning-memory-motivation, virus-mediated manipulation of neuronal activity and gene expression, (epi)genetic profiling of cells, in vivo fiber photometry and induced pluripotent stem cells (iPSCs).
Finley, James
Associate Professor of Biokinesiology and Physical Therapy
In the USC Locomotor Control Lab, we seek to understand how walking is controlled and adapted in both the healthy and injured neuromuscular systems. We develop models and experiments based on principles of neuroscience, biomechanics, engineering, and exercise physiology to identify the factors that guide locomotor learning and rehabilitation. Ultimately, the goal of our work is to design novel and effective interventions to improve walking ability in individuals with damage to the nervous system.
Hahn, Joel
Associate Professor (Research) of Biological Sciences
The overall goal / objective of my research is to increase scientific understanding of the fundamental structure/function relations of the nervous system. Using a variety of research methods, I have investigated neural circuits relating to specific functions (for example, neuroendocrine control of reproduction, eating, and agonistic behaviors), as well as high-level global network organization of the brain. My current research is geared mostly to developing and investigating nervous system network models, and to building tools and resources for systems neuroscience, and more recently for comparing neuroanatomical ontologies within and between species, to simplify and enable more accurate interpretation and communication of neuroscience data.
Hires, Samuel Andrew
Associate Professor of Biological Sciences
The Hires lab is investigating the basis of biological intelligence. Over the past decade we developed numerous imaging tools to record large-scale patterns of neural activity that are used by thousands of neuroscience labs. These have resulted in hundreds of publicly available datasets embedded with rich representations of neural activity. We are now developing analytical tools, using recent AI developments, to ultimately distill undiscovered principles of biological intelligence from these datasets.
