Lauren Erdman, PhD(c)
I'm a Computer Science PhD student at the University of Toronto and the Hospital for Sick Children. My research focuses on machine learning in biomedical and healthcare applications. Some highlights include my work in:
Clinical phenotyping and prediction
Psychiatric Genetics and Phenotyping
Understanding gene regulation in the cell
I have worked on multiple genome-wide association studies as well as candidate gene analyses to understand genetic correlates of psychiatric disorders such as obsessive-compulsive disorder, anorexia-nervosa, and hoarding.
Understanding Gene Expression Regulation
Using the Cancer Genome Atlas, I have developed integrative Models for Estimated gene expression regulation (iModEst) presented at the American Society of Human Genetics in 2018 with a forthcoming manuscript and annotation database.
Clinical Phenotyping and Prediction
I have developed multiple clinical prediction algorithms to augment existing workflows including an algorithm to prediction cancer onset from methylation in Li Fraumeni Syndrom, predicting hepatocellular carcinoma recurrence from clinical data, and predicting surgical intervention in hydronephrosis patients from ultrasound data.