Your hometown/city/country
I grew up in a small town in central New Hampshire named Etna.
Tell us a bit about yourself.
I have one younger brother and live in Brookline with wife and our dog. I love spending time outdoors by hiking, skiing, running...
Your hometown/city/country
I grew up in a small town in central New Hampshire named Etna.
Tell us a bit about yourself.
I have one younger brother and live in Brookline with wife and our dog. I love spending time outdoors by hiking, skiing, running...
We develop computational tools to solve statistical and algorithmic challenges in quantitative genetics.
We are based in the Division of Genetics and Center for Data Sciences at Brigham and Women's Hospital / Harvard Medical School. We are affiliated...
Genomics of human disease. We are interested in the functional consequences of the complete spectrum of genomic variation on human disease, with a particular focus on congenital birth defects, autism, neurodevelopmental disorders, and diverse...
Tianxi Cai is a major player in developing analytical tools for mining EHR data and predictive modeling with biomedical data. She provides statistical leadership on several large-scale projects, including the NIH-funded Undiagnosed Diseases Network at...
Dr. Dietlein is an Assistant Professor at Harvard Medical School, an Associate Member of the Broad Institute, Core Faculty in the Computational Health Informatics Program at Boston Children’s Hospital, and an Investigator at the Dana-Farber Cancer...
Our research group studies the statistical genetics of Mendelian disorders. We focus on two major application areas: methods to assess the pathogenicity of genomic variants and the clinical application of predictive algorithms in genomics. These...
Todd Golub is a founding core member of the Broad Institute and serves as the institute director.
Golub is a world leader in understanding the basis of cancer, by creating and applying tools of genomics. He has made fundamental discoveries in the...
Arjun Manrai directs a research lab of machine learning scientists, clinicians, and biomedical data scientists working to improve medical decision making using computation. His group develops quantitative approaches to support physicians in making...
