Developing efficient algorithms for inferring haplotypes in large-scale data sets; association studies in admixed populations; recombination in humans
Current Research Interest
Algorithms for local ancestry inference and identical-by-descent detection in large-scale data sets; properties of local ancestry segments in recently admixed populations; de novo mutation rates and properties in humans
Alfred P. Sloan Research Fellow
Ramstetter, Monica D., Thomas Dyer, Donna M. Lehman, Joanne E. Curran, Ravindranath Duggirala, John Blangero, Jason G. Mezey, and Amy L. Williams. “Benchmarking Relatedness Inference Methods with Genome-Wide Data from Thousands of Relatives.” Genetics 207, no. 1 (2017): 75-82.
Williams, Amy L., Giulio Genovese, Thomas Dyer, et al. for the T2D-GENES Consortium. “Non-crossover Gene Conversions Show Strong GC Bias and Unexpected Clustering in Humans.” eLife e04637 (2015).
Cornell Research Website Article
Genomic Data: What It Reveals