Our Research

Genetics and comorbidities of autism:

As a clinical partner in the nationwide SPARK study, we are aiming to understand the biology of autism and how it affects the health and well-being of people on the spectrum.

Genetics of language: 

We are leveraging the genetic information of those with language abnormalities to refine the categorization and classification of language impairments. Our hope is this research leads to more precise and effective language therapies.

Genetics of gender diversity:

We are investigating the genetic connections between sex, gender, and mental health, so we can improve the health and well-being of gender diverse individuals.

Genetics of twice-exceptionality:

We are exploring the genetics and biology of individuals who are "twice-exceptional (2e)" - that is, people who are intellectually talented and impacted by a neurodevelopmental condition, such as autism or ADHD. The high abilities of 2e individuals often masks their difficulties, which our research aims to address through the development of better support systems for these individuals.

Prediction of top autism candidate genes:

By integrating machine learning methods and several, large autism databases, we have developed an algorithm that predicts which genes are most likely to be related to autism development.

Learning and memory:

We have a longstanding collaboration with University of Iowa neuroscientist Ted Abel, where we are identifying the molecular mechanisms of learning and memory. This research will allow us to understand why some people learn knowledge more easily than others, and why some individuals are more prone to aging-related cognitive decline.

Other areas of computational psychiatry:

We have vast amounts of multimodal data related to cognition and mental health. We prefer working as a team, so our extramurally-supported research programs are highly collaborative, and involve a mix of computational methodology, human subjects research, and animal models. If you are interested in the intersection of computing and mental health and would like to collaborate or join our team as a trainee, let us know!