Postdoctoral Research Fellow
Department of Biomedical Informatics, Harvard Medical School
Dr. Koch is a postdoctoral researcher in the Department
of Biomedical Informatics at Harvard Medical School. He works on statistical
and theoretical problems in population and evolutionary genetics. His current
research projects include using precise mutation rate estimates in the human
genome to measure natural selection on a fine scale, and the investigation of
selection on human traits using the results of genome-wide association studies.
He has also worked on arabidopsis and wolf genetics, and currently has added
the SARS-CoV-2 virus to this mix.
Dr. Koch obtained my PhD in Ecology and Evolution from the University of Chicago, where he was an NSF GRFP fellow. Before that, he graduated from the University of Texas with a BS in Biology (honors), and a certificate in computational science.
Postdoctoral Research Fellow
Department of Biomedical Informatics, Harvard Medical School
Dr. Koch is a postdoctoral researcher in the Department
of Biomedical Informatics at Harvard Medical School. He works on statistical
and theoretical problems in population and evolutionary genetics. His current
research projects include using precise mutation rate estimates in the human
genome to measure natural selection on a fine scale, and the investigation of
selection on human traits using the results of genome-wide association studies.
He has also worked on arabidopsis and wolf genetics, and currently has added
the SARS-CoV-2 virus to this mix.
Dr. Koch obtained my PhD in Ecology and Evolution from the University of Chicago, where he was an NSF GRFP fellow. Before that, he graduated from the University of Texas with a BS in Biology (honors), and a certificate in computational science.
Journal article
Causal disease effect sizes of proximal single-nucleotide polymorphisms (SNPs) are widely assumed to be independent but could be correlated. Here we introduce a new method, linkage disequilibrium SNP-pair effect correlation regression (LDSPEC), to estimate the correlation of causal disease effect sizes of derived alleles between proximal SNPs; LDSPEC produced robust estimates in simulations. Analyzing 70 UK Biobank diseases and traits (average N = 305,646), we detected significantly non-zero...
Journal article
The dense and rapidly changing information conveyed through social interactions must be processed efficiently, allowing individuals to form impressions of others that guide social behavior. The present study summarizes over 100 functional magnetic resonance imaging studies on social impressions concerning stable attributes, highlighting overlapping and specific neural mechanisms for their different sub-types. We identified an extensive network involved in forming social impressions, including...