A Ph.D. Candidate specializing in the use of multimodal experimental, computational, and machine learning methods to optimize interventions that promote psychological well-being and foster precision mental healthcare.
Comfortable working across domains in the development of data-driven mental health solutions – 15 years of clinical experience and expertise in:
data wrangling & statistical learning ◼︎
software development ◼︎
survey implementation & hypothesis testing ◼︎
communication & presentation ◼︎
A smartphone app developed to capture subjective experiences of thoughts, feelings, and behaviors.
Evaluating a path model of everyday thoughts on Psychological Well-Being.
Defining naturalistic ‘thought patterns’ in individuals using a hierarchical clustering solution.