Andrea Ganna

Andrea Ganna is a group leader at the Finnish Institute for Molecular Medicine and an instructor at Harvard Medical School and Massachusetts General Hospital.Previously he did his post-doc at the Analytical and Translation Genetic Unit at Massachusetts General Hospital/Harvard Medical School/Broad Institute and his PhD at Karolinska Institute. His research interests lie on the intersection between epidemiology, genetics and statistics. Andrea have authored and co-authored both methodological and applied papers…

Sali Farhan

Sali Farhan is a Postdoctoral Fellow with Benjamin Neale and Mark Daly. She completed her PhD in Biochemistry and Genetics at Robarts Research Institute at Western University in Canada. Her PhD research focused on identifying the genetic basis of Mendelian diseases and complex neurodegenerative diseases primarily amyotrophic lateral sclerosis (ALS) and frontotemporal dementia. Currently, she is studying large cohorts of sporadic and familial ALS cases to elucidate the genetic determinants…

Konrad Atgu

Konrad Karczewski

Konrad Karczewski is a computational biologist researching the prevalence and impact of loss-of-function variation in healthy human genomes and their impact on human phenotypes.

Laurent Francioli

Laurent Francioli

Laurent Francioli is a Swiss postdoctoral research fellow in Daniel MacArthur’s lab at Massachusetts General Hospital and the Broad Institute. He has a Master’s degree in computer science from the Swiss Institute of Technology in Lausanne (Switzerland) and a doctorate in genetics from the University of Utrecht (the Netherlands). Laurent’s work focuses on leveraging large-scale sequencing data to study mutation rates and selection patterns. Notably, he studied de novo mutations…

Alicia Martin

Alicia Martin is an Instructor in Investigation at the Analytic & Translational Genetics Unit at Massachusetts General Hospital, an Instructor in Medicine at Harvard Medical School, and an Associate Member of the Broad Institute affiliated with the Stanley Center for Psychiatric Research and the Medical and Population Genetics Program. As a population and statistical geneticist, her research examines the role of human history in shaping global genetic and phenotypic diversity. Specifically with consideration to vast Eurocentric…

Duncan Palmer

Duncan Palmer is a postdoctoral fellow in the Ben Neale Lab at the Broad Institute of MIT and Harvard. After working viral on evolution, where he studied the interaction between HIV and the CTL immune response, he switched countries and genome lengths and began working on human genetics in the spring of 2016. He is currently working on methods to estimate genetic contributions to heritability of complex traits by both…

Hailiang Huang

Hailiang Huang is an instructor at Harvard Medical School and Massachusetts General Hospital. He is also an associated scientist at the Broad Institute. His research focuses on developing new statistical and analytical methods to understand the genetic factors driving complex disorders, especially autoimmune and psychiatric disorders. His studies use large-scale data from various consortia and public sources such as UK Biobank, the National Institutes of Health (NIH) Roadmap for Medical…

Elizabeth Atkinson

Elizabeth Atkinson is a postdoc at Massachusetts General Hospital and the Broad Institute of MIT and Harvard, co-advised by Drs. Mark Daly and Ben Neale and working closely with Dr. Karestan Koenen. She did her PhD at Washington University in St. Louis, followed by receiving an NIH Institutional Research and Career Development Award at Stony Brook University, in which she received structured pedagogy training, taught, and examined genetic diversity of…

Isabel Fulcher

Isabel Fulcher

Isabel Fulcher recently obtained her PhD in Biostatistics from Harvard University and is currently a postdoctoral fellow at the Harvard Data Science Initiative. Isabel’s research aims to develop innovative causal inference methodologies to improve the delivery of sexual and reproductive health care to at-risk populations. Her statistical interests include the development of causal inference methods that account for unmeasured confounding or peer effects on a network. She is particularly interested in the…