I design algorithms and software to solve computational problems in genomic science and medicine.
I am modernizing the Utah Population Database (UPDB) for purposes of family-based genomics analyses. The UPDB is the largest resource for tracking diseases in families in the world. This project involves (1) development of graph-based algorithms for identification of families with statistically significant enrichment for disease; (2) algorithms for identifying families with optimal combinations of affected and unaffected individuals for sequencing; (3) development of covariant techniques to control for confounding variables such as BMI, geographic location and environmental exposure.

I design algorithms and software to solve computational problems in genomic science and medicine.
I am modernizing the Utah Population Database (UPDB) for purposes of family-based genomics analyses. The UPDB is the largest resource for tracking diseases in families in the world. This project involves (1) development of graph-based algorithms for identification of families with statistically significant enrichment for disease; (2) algorithms for identifying families with optimal combinations of affected and unaffected individuals for sequencing; (3) development of covariant techniques to control for confounding variables such as BMI, geographic location and environmental exposure.

I design algorithms and software to solve computational problems in genomic science and medicine.
I am modernizing the Utah Population Database (UPDB) for purposes of family-based genomics analyses. The UPDB is the largest resource for tracking diseases in families in the world. This project involves (1) development of graph-based algorithms for identification of families with statistically significant enrichment for disease; (2) algorithms for identifying families with optimal combinations of affected and unaffected individuals for sequencing; (3) development of covariant techniques to control for confounding variables such as BMI, geographic location and environmental exposure.

I design algorithms and software to solve computational problems in genomic science and medicine.
I am modernizing the Utah Population Database (UPDB) for purposes of family-based genomics analyses. The UPDB is the largest resource for tracking diseases in families in the world. This project involves (1) development of graph-based algorithms for identification of families with statistically significant enrichment for disease; (2) algorithms for identifying families with optimal combinations of affected and unaffected individuals for sequencing; (3) development of covariant techniques to control for confounding variables such as BMI, geographic location and environmental exposure.

I design algorithms and software to solve computational problems in genomic science and medicine.
I am modernizing the Utah Population Database (UPDB) for purposes of family-based genomics analyses. The UPDB is the largest resource for tracking diseases in families in the world. This project involves (1) development of graph-based algorithms for identification of families with statistically significant enrichment for disease; (2) algorithms for identifying families with optimal combinations of affected and unaffected individuals for sequencing; (3) development of covariant techniques to control for confounding variables such as BMI, geographic location and environmental exposure.