Research

My research interests are broadly in applied algorithms, with specific interests in computational biology and networks-related problems.

Current projects include:

  • Pangenomic data analysis: joint with Alan Cleary, Indika Kahanda, Thiru Ramaraj (NCGR) and Joann Mudge (NCGR)
  • Metabolic activity analysis: joint with Daniel Salinas, Ron June
  • Network flow decomposition problems: joint with Lucia Williams
  • Biofilm data fusion: joint with David Millman

Note to Prospective Graduate Students: Students with strong algorithms and math background are welcome to contact me via email about potential opportunities in my lab.

Publications can be found here: Google scholarResearchGate

Current Students:

  • Lucia Williams, Ph.D.

Past Students:

  • Danial Salinas, Ph.D. 2018 (Assistant Professor at Westminster College)
  • Alan Cleary, Ph.D. 2018 (Research Scientist at National Center for Genome Resources)
  • Sean Yaw, Ph.D. 2017 (Assistant Professor at Montana State University)
  • Mohammadbagher Parsa, M.Sc. 2017 (Neuralynx, Inc.)

  • Ivan Judson, Ph.D. 2013 (Microsoft Research)
  • Thiru Ramaraj, Ph.D. 2010 (Research Scientist at National Center for Genome Resources)
  • Timothy Hahn, Ph.D. 2010 (Raytheon)
  • Neeraj Gurdasani, M.Sc. 2009 (Trade Risk Guarantee)
  • Nathaniel Ohler, M.Sc. 2006 (Oracle)
  • Vijay Raghavan, M.Sc. 2006 (Harvard Medical School)
  • Alok Gondhalekar, M.Sc. 2006
  • Gaurav Dawra, M.Sc. 2005 (Cisco)
  • Weihua Zhang, M.Sc. 2004 (Oracle)
  • Sean Lambert, M.Sc. 2004
  • Rebecca Ericson, M.Sc. 2002
  • Julie Taubman, M.Sc. 2001 (National Institute of Health)
  • David Stevens, undergrad research (PhD student at U. of Oregon)
  • Saiichi Hashimoto, undergrad research
  • Nick Wells, undergrad research
  • Bonnie Kirkpatrick, undergrad research (CS faculty member, U. of Miami)
  • Kelly Spendlove, undergrad research (PhD student at Rutgers)

(Past students: please get in touch and let me know what you’re doing)

 

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Lab members circa 2016: Sean Yaw, Alan Cleary and Daniel Salinas