Alyssa M Wilson | Mount Sinai - New York
Alyssa M Wilson

Alyssa M Wilson, PhD

About Me

Dr. Wilson is a faculty member in the Departments of Neurology and Psychiatry, where she works closely with Drs. Susan Morgello and Schahram Akbarian. She is a computational neuroscientist with expertise in comparative neuroanatomy and scalable data analysis of large brain datasets.

Her past work has focused on comparing anatomical brain connectivity patterns under various conditions, using electron-microscopy-generated digital brain image volumes (a field known as “electron microscopy connectomics”). She has published several original research papers based on these datasets that highlight properties of brain organization during postnatal development and young adulthood. She has collaborated with researchers from the Broad Institute, Allen Institute for Brain Science, Johns Hopkins Applied Physics Lab, Baylor College of Medicine, and Harvard University on this work. Dr. Wilson performed postdoctoral training at the Princeton Neuroscience Institute, and holds a PhD in physics from Harvard University.

Language
English
Position
ASSISTANT PROFESSOR | Neurology, ASSISTANT PROFESSOR | Psychiatry

Awards

2019

Best Poster

Cerebellum Gordon Research Conference

Research

Dr. Wilson’s research focuses on building descriptions of the relationships between neurological function, gene product regulation, and disease state in adults who experience neuropsychiatric disease. Neuropsychiatric diseases are complex, and their often-widespread impact on function can make treatment difficult. To get a better understanding of how particular neurological changes may be related to disease symptoms, Dr. Wilson uses artificial intelligence to consider multiple aspects of a patient’s status in combination, including transcriptomic and epigenomic data from various brain regions (which inform about how gene expression is regulated); anatomical data from various brain regions (which can show how cells may change or interact); and clinical data, such as neurological health measures and comorbidity records. By revealing new insights about how genetics, other cell-level changes, environmental factors, and disease progression influence each other in patient populations, this effort aims to ultimately highlight ways to improve therapeutic strategies for these diseases.

Locations

Publications

Publications:12
Selected Publications