Daehwan Kim September 2018

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Daehwan Kim September 2018 Michael L. Rosenberg Assistant Professor, CPRIT Scholar (214) 645-1738 Lyda Hill Department of Bioinformatics infphilo@gmail.com University of Texas Southwestern Medical Center Daehwan.Kim@UTSouthwestern.edu Dallas, TX 75390 kim-lab.org Research Interests Computational Biology, DNA and RNA Sequence Alignment, Graph Alignment to Population of Genomes, Genotyping, Personalized Medicine Professional Experience Michael L. Rosenberg Assistant Professor September 2017 Present Lyda Hill Department of Bioinformatics University of Texas Southwestern Medical Center, Dallas, TX My research projects are related to Computational Biology and Genomics. I plan to develop a practical software solution that can accurately analyze an individual s genome and its >20,000 genes within a few hours on a desktop computer. The availability of an individual s genetic information made possible by this proposed work is essential to promoting personalized medicine. This software will enable anyone who has access to sequencing data to easily perform these functions using just one software package. Post-doctoral Research Fellow June 2013 August 2017 Center for Computational Biology Johns Hopkins University, School of Medicine, Baltimore, MD I developed algorithms and software such as TopHat2, HISAT, Centrifuge, and TopHat-Fusion to accurately analyze data generated by high-throughput next generation sequencers. I collaborated with biostatisticians, medical researchers, and other faculty at Johns Hopkins University School of Medicine. Chief Technology Officer October 2003 July 2008 Nexon DD, Seoul, South Korea (Game Development Company) I led the development of several personal computer-based games as a team manager and main developer. I established and continually improved software development and quality assurance processes. My responsibilities also included hiring and managing developers. Education Ph.D. in Computer Science May 2013 University of Maryland, College Park, MD, USA Thesis: RNA-sequencing Analysis: Read Alignment and Discovery and Reconstruction of Fusion Transcripts Advisor: Steven L. Salzberg D. Kim: 1 of 5

B.Eng. in Computer Science and Engineering February 2004 Chung-Ang University, Seoul, South Korea Summa Cum Laude Selected Publications (Citation count from Google Scholar, accessed September 4, 2018) * Equal contribution, Corresponding author Daehwan Kim, Joseph M. Paggi, and Steven L. Salzberg. HISAT-genotype: Next Generation Genomic Analysis Platform on a Personal Computer. biorxiv 2018. Daehwan Kim*, Li Song*, Florian Breitwieser*, and Steven L. Salzberg. Centrifuge: rapid and accurate classification of metagenomic sequences. Genome Research 2016. 26: 1721-1729. (Cited 78 times) Mihaela Pertea, Daehwan Kim, Geo Pertea, Jeffrey T. Leek, and Steven L. Salzberg. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie, and Ballgown. Nature Protocols 11, 1650-1667, 2016. (Cited 205 times) Daehwan Kim, Ben Langmead, and Steven L. Salzberg. HISAT: a fast spliced aligner with low memory requirements. Nature Methods 12, 357-360, 2015. (Cited 1,002 times) Daehwan Kim, Geo Pertea, Cole Trapnell, Harold Pimentel, Ryan Kelley, and Steven L. Salzberg. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biology 2013, 14:R36. (Cited 5,176 times) Cole Trapnell, Adam Roberts, Loyal Goff, Geo Pertea, Daehwan Kim, David R. Kelley, Harold Pimentel, Steven L. Salzberg, John L. Rinn, and Lior Pachter. Differential Gene and Transcript Expression Analysis of RNA-Seq Experiments with TopHat and Cufflinks. Nature Protocols 7, 562-578, 2012. (Cited 5,391 times) Daehwan Kim and Steven L. Salzberg. TopHat-Fusion: an algorithm for discovery of novel fusion transcripts. Genome Biology 2011, 12:R72. (Cited 439 times) Other Manuscripts Daehwan Kim and Steven L. Salzberg. Next-Generation Genotyping: graph alignment, and ultrafast and accurate genotyping. In preparation. Honors and Awards Best Poster 2011 Johns Hopkins 5 th Annual Young Investigator Symposium on Genomics and Bioinformatics (Baltimore, MD) D. Kim: 2 of 5

Block Grant Fellowship 2008, 2009 University of Maryland, College Park, MD Employee of the Year 2005, 2006 Nexon DD, Seoul, South Korea Awarded $10,000 prize each year Invited Seminars Carnegie Mellon University, PA. March 2017. University of Texas Southwestern Medical Center, TX. March 2017. University of Washington, Seattle, WA. March 2017. University of Virginia, Charlottesville, VA. February 2017. Pennsylvania State University, PA. September 2016. Seoul National University (V. Narry Kim s lab), Seoul, South Korea. June 2016. Korea Institute of Science and Technology (KIST), Seoul, South Korea. May 2016. Mini-Symposium of Informatics, University of Colorado, Denver, CO. April 2016. Broad Institute, Boston, MA. December 2015. Seven Bridges Genomics, Boston, MA. December 2015. Genome Informatics conference, Cold Spring Harbor Laboratory, NY. October 2015. Poster Presentations HISAT-genotype: fast software for analyzing human genomes on a personal computer. Cold Spring Harbor Laboratory Meeting on the Biology of Genomes. Cold Spring Harbor, NY. May 2016. Centrifuge: rapid and accurate classification of metagenomic sequences. Cold Spring Harbor Laboratory Meeting on the Biology of Genomes. Cold Spring Harbor, NY. May 2015. D. Kim: 3 of 5

SAWHI (now HISAT): Spliced Alignment With Hierarchical Indexing. Cold Spring Harbor Laboratory Meeting on the Biology of Genomes. Cold Spring Harbor, NY. May 2014. Reconstruction and Estimation of Fusion Transcripts from RNA Sequencing. Cold Spring Harbor Laboratory Meeting on the Biology of Genomes. Cold Spring Harbor, NY. May 2013. TopHat2: Parallel mapping of transcriptomes to detect indels, gene fusions, and more. Cold Spring Harbor Laboratory Meeting on the Biology of Genomes. Cold Spring Harbor, NY. May 2012. TopHat-Fusion: an algorithm for discovery of novel fusion transcripts. Cold Spring Harbor Laboratory Meeting on the Biology of Genomes. Cold Spring Harbor, NY. May 2011. Software HISAT-genotype (2017): our next generation platform that enables rapid and accurate genomic analysis of our genomes using next-generation sequencing data on a desktop within a few hours. The platform currently supports HLA typing, discovery of novel HLA alleles, DNA fingerprinting analysis, and other functionalities. URL: www.ccb.jhu.edu/hisat-genotype Centrifuge (2016): a very rapid and memory-efficient system for the classification of next-generation sequences from microbial samples, with better sensitivity than and comparable accuracy to other leading systems. URL: www.ccb.jhu.edu/software/centrifuge HISAT2 (2015): a fast and sensitive alignment program for mapping next-generation sequencing reads (both DNA and RNA) to a population of human genomes. Based on an extension of the Burrows- Wheeler transform for graphs, I designed and implemented a graph FM index (GFM), an original approach and its first implementation. URL: www.ccb.jhu.edu/software/hisat2 HISAT (2014): a fast and sensitive spliced alignment program for mapping RNA-seq reads. In addition to a global FM index that represents the whole genome, HISAT uses a large set of small FM indexes that collectively cover the genome in smaller segments. These small indexes (called local indexes) combined with several alignment strategies enable effective alignment of reads. URL: www.ccb.jhu.edu/software/hisat TopHat2 (2013): a splice junction mapper for RNA-Seq reads. TopHat2 aligns RNA-seq reads to mammalian-sized genomes using the ultra high-throughput short read aligner Bowtie, and then analyzes the mapping results to identify splice junctions between exons. URL: www.ccb.jhu.edu/software/tophat TopHat-Fusion (2011): an enhanced version of TopHat with the ability to align reads across fusion points, which result from the breakage and re-joining of two different chromosomes, a common occurrence in some types of cancer. URL: www.ccb.jhu.edu/software/tophat/fusion_index.shtml Additional Background and Skills Mathematics: performed independent study of undergraduate-level mathematics including Number Theory, Differential Equation, Abstract Algebra, Vector Calculus, Mathematical Analysis, Topology, and Statistics D. Kim: 4 of 5

Biology and Chemistry: independently studied General Biology, General Chemistry, Molecular Biology, Organic Chemistry, and Biochemistry Programming: >17 years of experience in C/C++, >9 years in Python Operating Systems and Clusters: excellent working knowledge of Linux, Mac, Windows, and SLURM Completed New England BioLabs annual two-week Molecular Biology Summer Workshop in 2016, principally covering cloning, gene expression, Quantitative RT-PCR, RNA interference, CRISPR/Cas9, and DNA fingerprinting. Wet-lab experience in the lab of Prof. Taekjip Ha at Johns Hopkins University: cloning vectors, protein interaction, nucleosome repositioning, and smfret (Single Molecule Florescence Resonance Energy Transfer). August 2016 August 2017. Other Interests Marathon runner. I have participated in thirteen full marathons including the Boston Marathon, the New York City Marathon, and the Chicago Marathon. 2008 Present. D. Kim: 5 of 5