Icahn School of Medicine at Mount Sinai · BiologyGenetic Risk and Predictive Modeling Lab
Daniel Michael Jordan · New York, New York
Research Focus
Dr. Daniel Michael Jordan's lab focuses on improving our understanding of genetic diseases and predicting disease risks for individuals with specific genetic markers. By using advanced techniques in deep learning, the lab analyzes large datasets from electronic health records and various biological sources. This research aims to bridge the gap between genetic information and its actual impact on health, making genetic testing results more practical for clinicians and patients.
deep learninggenetic riskmonogenic diseasespredictive modelingmulti-omics data
Research Aims
5AIM 01Develop methods that predict disease risks for individuals with rare monogenic risk alleles.
AIM 02Integrate genetic and non-genetic factors for more accurate risk assessments.
AIM 03Analyze multi-omics data to uncover insights about disease biology.
AIM 04Leverage deep learning to improve the clinical utility of genetic information.
AIM 05Refine the accuracy of genetic diagnostics in predicting disease outcomes.
Skills the Lab Values
data analysisdeep learningmachine learningbioinformaticsbiostatisticsgenetic diagnosticselectronic health recordsproteomicsmetabolomicsgenomic sequencing