Yun S. Song
Yun S. Song is a professor of EECS and Statistics. He received the BS degrees in mathematics and physics from MIT, and a PhD in physics from Stanford University. After his PhD, he spent a year at the Mathematical Institute at the University of Oxford, where he decided to change fields. He became a postdoctoral researcher in the Department of Statistics at Oxford, and started doing research in computational biology and mathematical population genetics. From 2004 to 2007, he was a postdoctoral researcher at UC Davis in the Department of Computer Science, and the Section of Evolution and Ecology.
Recent honors and awards include an NIH Pathway to Independence Award K99/R00 (2006), an Alfred P. Sloan Research Fellowship (2008), a Packard Fellowship for Science and Engineering (2008), an NSF CAREER Award (2009), and Jim and Donna Gray Faculty Award for Excellence in Undergraduate Teaching (2013).
- A. Bhaskar, Y. X. R. Wang, and Y. S. Song, "Efficient inference of population size histories and locus-specific mutation rates from large-sample genomic variation data," Genome Research, vol. 25, no. 2, pp. 268-279, 2015.
- J. Terhorst and Y. S. Song, "Fundamental limits on the accuracy of demographic inference based on the sample frequency spectrum," PNAS, vol. 112, no. 25, pp. 7677-7682, June 2015.
- M. Steinrücken, A. Bhaskar, and Y. S. Song, "A novel spectral method for inferring general diploid selection from time series genetic data," Annals of Applied Statistics, vol. 8, no. 4, pp. 2203-2222, 2014.
- A. Bhaskar and Y. S. Song, "Descartes' rule of signs and the identifiability of population demographic models from genomic variation data," Annals of Statistics, vol. 42, no. 6, pp. 2469-2493, Dec. 2014.
- A. Bhaskar, A. G. Clark, and Y. S. Song, "Distortion of genealogical properties when the sample is very large," PNAS, vol. 111, no. 6, pp. 2385-2390, Feb. 2014.
- A. Bhaskar, J. A. Kamm, and Y. S. Song, "Approximate sampling formulae for general finite-alleles models of mutation," Advances in Applied Probability, vol. 44, no. 2, pp. 408-428, 2012.
- P. A. Jenkins and Y. S. Song, "Padé approximants and exact two-locus sampling distributions," Annals of Applied Probability, vol. 22, no. 2, pp. 576-607, 2012.
- J. Paul and Y. S. Song, "Blockwise HMM computation for large-scale population genomic inference," Bioinformatics, vol. 28, no. 15, pp. 2008-2015, Aug. 2012.
- Y. S. Song and M. Steinrücken, "A simple method for finding explicit analytic transition densities of diffusion processes with general diploid selection," Genetics, vol. 190, no. 3, pp. 1117-1129, March 2012.
- W. Kao, A. Chan, and Y. S. Song, "ECHO: A reference-free short-read error correction algorithm," Genome Research, vol. 21, pp. 1181-1192, July 2011.
- R. Nielsen, J. Paul, A. Albrechtsen, and Y. S. Song, "Genotype and SNP calling from next-generation sequencing data," Nature Reviews Genetics, vol. 12, pp. 443-451, June 2011.
- J. S. Paul, M. Steinrücken, and Y. S. Song, "An accurate sequentially Markov conditional sampling distribution for the coalescent with recombination," Genetics, vol. 187, pp. 1115-1128, April 2011.
- P. A. Jenkins and Y. S. Song, "An asymptotic sampling formula for the coalescent with recombination," Annals of Applied Probability, vol. 20, no. 3, pp. 1005-1028, June 2010.
- W. C. Kao, K. Stevens, and Y. S. Song, "BayesCall: A model-based base-calling algorithm for high-throughput short-read sequencing," Genome Research, vol. 19, no. 10, pp. 1884-1895, Oct. 2009.
- J. Li and Y. S. Song, "Open string instantons and relative stable morphisms (Invited Reprint)," in The Interaction of Finite-Type and Gromov-Witten Invariants (BIRS 2003), D. Auckly and J. Bryan, Eds., Geometry and Topology Monographs, Vol. 8, Berkeley, CA: Mathematical Sciences Publishers, 2006, pp. 49-72.
- S. Monni, J. S. Song, and Y. S. Song, "The Hurwitz enumeration problem of branched covers and Hodge integrals," J. Geometry and Physics, vol. 50, no. 1-4, pp. 223-256, April 2004.