Philip J. Freda, Jr., Ph.D.

I am a project scientist and computational geneticist in the Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles, CA in the lab of Jason Moore, Ph.D.

My main research focuses are:

• Development of AI-driven frameworks for electronic health record (EHR) data cleaning that facilitate human-AI collaboration for generation of novel clinical insight
• Establishing predictive models and risk assessment strategies to pinpoint, assess, and classify crucial clinical and biological markers associated with adverse clinical outcomes, chronic pain, substance use disorders, and psychiatric diseases to refine personalized medicine approaches
• Implementing and developing natural language processing (NLP) methodologies to streamline the identification of substance use and psychiatric disorders and accurately gauge their severity from clinical text
• Detecting statistical epistasis by developing novel computational techniques followed by validation through experimental research
• Crafting automated and unsupervised methods for the association of genotypes to phenotype and identifying sources of non-additive genetic variation
• Revealing genetic and transcriptomic evidence that reinforces the adaptive decoupling hypothesis, a core postulate explaining the evolution and persistence of complex life cycles in animals

If you are interested in my research or collaboration, have a look at my current research areas, recent publications, and/or email me!