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Tae-Hyuk (Ted) Ahn, Ph.D.

Associate Professor
Department of Computer Science

Courses Taught

CSCI 4610 Concurrent and Parallel Programming, CSCI 5610 Concurrent and Parallel Programming, BCB 5250 Introduction Bioinformatics II, CSCI 4850 High-Performance Computing, CSCI 5850 High-Performance Computing, BCB 5250 Introduction Bioinformatics II


  • Ph.D. in Computer Science, Virginia Tech
  • M.S. in Electrical and Computer Engineering, Northwestern University
  • B.S. in Electrical Engineering, Yonsei University

Dr. Tae-Hyuk (Ted) Ahn received a B.S. degree in electrical engineering from Yonsei University in 2000 and worked for Samsung for four years in South Korea. He received an M.S. degree in electrical and computer engineering from Northwestern University in 2007 and a Ph.D. degree in computer science from Virginia Tech in 2012.

After he worked at Oak Ridge National Laboratory, he joined Saint Louis University in 2015 where he is currently an assistant professor.

His research interests include bioinformatics, high-performance computing, big data analytics, and computational science.

Research Interests

Bioinformatics and High-Performance Computing

Publications and Media Placements

  • Matthew J. McCoy, Alexander J. Paul, Matheus B. Victor, Michelle Richner, Harrison W. Gabel, Haijun Gong, Andrew S. Yoo, and Tae-Hyuk Ahn. “LONGO: an R package for interactive gene length dependent analysis for neuronal identity”. In: Bioinformatics 34.13 (2018), pp. i422–i428. doi: 10.1093/bioinformatics/bty243. url
  • Alexander J. PaulDylan Lawrence, and Tae-Hyuk Ahn. “Overlap Graph Reduction for Genome Assembly using Apache Spark”. In: Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2017, Boston, MA, USA, August 20-23, 2017. 2017, p. 613. doi: 10.1145/3107411.3108222. url
  • Tae-Hyuk Ahn, Adrian Sandu, Layne T. Watson, Clifford A. Shaffer, Yang Cao, and William T. Baumann. “A Framework to Analyze the Performance of Load Balancing Schemes for Ensembles of Stochastic Simulations”. In: International Journal of Parallel Programming 43.4 (2015), pp. 597–630. doi: 10.1007/s10766-014-0309-6. url
  • Tae-Hyuk Ahn, Juanjuan Chai, and Chongle Pan. “Sigma: Strain-level inference of genomes from metagenomic analysis for biosurveillance”. In: Bioinformatics 31.2 (2015), pp. 170–177. doi: 10.1093/bioinformatics/btu641. url
  • Bahlul Haider, Tae-Hyuk Ahn, Brian Bushnell, Juanjuan Chai, Alex Copeland, and Chongle Pan. “Omega: an Overlap-graph de novo Assembler for Metagenomics”. In: Bioinformatics 30.19 (2014), pp. 2717–2722. doi: 10.1093/bioinformatics/btu395. url
  • Tae-Hyuk Ahn, Adrian Sandu, and Xiaoying Han. “Implicit Simulation Methods for Stochastic Chemical Kinetics”. In: CoRR abs/1303.3614 (2013). arXiv: 1303.3614. url
  • Yingfeng Wang, Tae-Hyuk Ahn, Zhou Li, and Chongle Pan. “Sipros/ProRata: a versatile informatics system for quantitative community proteomics”. In: Bioinformatics 29.16 (2013), pp. 2064–2065. doi: 10.1093/bioinformatics/btt329. url
  • Damian Dechev and Tae-Hyuk Ahn. “Using SST/Macro for Effective Analysis of MPI-Based Applications: Evaluating Large-Scale Genomic Sequence Search”. In: IEEE Access 1 (2013), pp. 428–435. doi: 10.1109/ACCESS.2013.2272434. url
  • Tae-Hyuk Ahn and Adrian Sandu. “Fully implicit tau-leaping methods for the stochastic simulation of chemical kinetics”. In: 2011 Spring Simulation Multi-conference, SpringSim ’11, Boston, MA, USA, April 03-07, 2011. Volume 6: Proceedings of the 19th High Performance Computing Symposia (HPC). 2011, pp. 118–125. url
  • Tae-Hyuk Ahn, Damian Dechev, Heshan Lin, Helgi Adalsteinsson, and Curtis L. Janssen. “Evaluating Performance Optimizations of Large-scale Genomic Sequence Search Applications using SST/macro”. In: SIMULTECH 2011 - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Noordwijkerhout, The Netherlands, 29 - 31 July, 2011. 2011, pp. 65–73.
  • Tae-Hyuk Ahn and Adrian Sandu. “Parallel stochastic simulations of budding yeast cell cycle: load balancing strategies and theoretical analysis”. In: Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, BCB 2010, Niagara Falls, NY, USA, August 2-4, 2010. 2010, pp. 237–246. doi: 10.1145/1854776.1854811. url
  • Tae-Hyuk Ahn, Pengyuan Wang, Layne T. Watson, Yang Cao, Clifford A. Shaffer, and William T. Baumann. “Stochastic cell cycle modeling for budding yeast”. In: Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, San Diego, California, USA, March 22-27, 2009. 2009. url
  • Tae-Hyuk Ahn, Yang Cao, and Layne T. Watson. “Stochastic Simulation Algorithms for Chemical Reactions”. In: International Conference on Bioinformatics & Computational Biology, BIOCOMP 2008, July 14-17, 2008, Las Vegas Nevada, USA, 2 Volumes. 2008, pp. 431–436.