Luli will present the dissertation entitled "Statistical and Computational Methods for Spatial and Regulatory Genomics". The dissertation committee is chaired by Dr. Martin Aryee and Dr. Rafael Irizarry, and includes … Continue reading "Dissertation Defense – Luli Zou"
Anuraag Gopaluni Doctoral Student, Department of Biostatistics, Harvard University "Methods for accurate real-time estimates of death in the context of reporting delays" ABSTRACT: State-level mortality data in the United States is subject to reporting delays of up to 18 weeks, causing gaps between reported and true mortality in the short-term. Existing methods for correcting gaps … Continue reading "Quantitative Issues in Cancer Research Working Seminar"
Thesis Defense: Lauren Flynn Time: Monday May 8, 2023, at 2:00 PM Eastern Time Location: https://harvard.zoom.us/j/93710427859 Lauren will present the thesis titled “Affected-only Modeling of Familial Cancer Risk”. The thesis committee is chaired by Danielle Braun and includes Giovanni Parmigiani and Peter Kraft.
Wenhan Lu Analytic and Translational Genetics Unit HMS, MGH, Broad Institute Quantifying the extent of pleiotropy using rare variant association data in 394,841 human exomes Genome-wide association studies (GWAS) and rare-variant association studies (RVAS) have identified thousands of genes and variants that affect multiple phenotypes, implicating potential pleiotropic effects. However, it still needs to be … Continue reading "PQG Working Group"
Nathan will present the dissertation entitled "On Inference in High-Dimensional Settings via De-sparsifying Techniques with Applications in Genomics". The dissertation committee is chaired by Dr. Rajarshi Mukherjee and Dr. Brent … Continue reading "Dissertation Defense – Nathan Huey"
Learning from Pandemics: a special symposium in celebration of Dr. Victor De Gruttola's 50-year career at Harvard Friday, May 12 from 3:00-5:30 pm | Snyder Auditorium, Kresge G1 A reception will follow Please RSVP here The event features special guest speakers and panels on: Panel 1: Learning from global efforts to investigate & control pandemics Eric Tchetgen … Continue reading "Special Symposium: Learning from Pandemics"
Ron Do Associate Professor of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai Advances in Mendelian Randomization: Robust Causal Inference and Identification of Risk Factors for Coronary Artery Disease Mendelian randomization (MR) is a commonly used approach in human genetics to infer causal risk factors for complex diseases. In this talk, I … Continue reading "PQG Seminar"