Key research areas of interest include, but are not limited to: developing AI/ML methods to predict disease-specific causal variants and genes, utilizing LLM and computational approaches to generate extensive databases of gain- and loss-of-function functional variants in various categories, and performing PheWAS in the Mount Sinai Million Discovery Program (MSM) biobank combined with other leading biobanks (All of Us, UK Biobank, and Million Veterans Programs) across various human populations, traits and clinical measurements utilizing electronic health records (EHR) data. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, Phenome-Wide Association Studies, Genome-Wide Association Studies, Biobanks, Computational Biology, Bioinformatics, Genomics, Genetics, Electronic Health Records, Electronic Medical Records, Network Biology, Predictive modeling, Data Science, Clustering, R, Python, Precision Medicine, Personalized Medicine.