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

I am a 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:

• The detection and validation of statistical and biological epistasis in living systems using computational approaches paired with experimental science

• Automated machine learning and unsupervised machine learning approaches to quantitative trait locus analysis and the detection of non-additive genetic effects

• Development of predictive models and risk assessments that identify, rank, and categorize important clinical and biological features associated with surgical outcome, chronic pain, and opioid use disorder

• Genetic and transcriptomic validation of the adaptive decoupling hypothesis – the predominant postulation for the evolution and maintenance of complex life cycles in animal taxa

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