David J' Wild

1
David J. Wild

• B.Sc.(Hons) Computing Science, Aston
  UniversityBirmingham, UK. 1991
• Ph.D. Chemoinformatics,Sheffield University, UK
  1994
• 3 year Postdoc, Sheffield University
• Postdoc, Parke-Davis Pharmaceutical Research (now
  Pfizer),Ann Arbor, Mich.
• Senior Scientist, Pfizer, Ann Arbor, Mich. till
  2002
• Director of scientific computing consulting
  company, 2002-present
• Adjunct Assistant Professor, University of
  Michigan, 2002-present
• Visiting Assistant Professor, Indiana University
  2004-2006
• Assistant Professor, Indiana University, 2006-

2
Research Area of Interest

• OVERALL Chemical Informatics Smart Mining of
  Drug Discovery Information
• FOCUS Bringing together large volumes of
  heterogenous information with data mining and
  semantic web methods

3
Methods Used

• Develop a web service infrastructure, ontologies
  and mining tools for chemical informatics
• Apply data mining techniques to combined chemical
  structure, biological activity and genomic
  datasets
• Develop interaction tools that make these methods
  accessible and useful to real scientists

4
Two Findings and References

• Web service workflows allow you to pursue
  interesting in-silico science using very
  heterogenous methods
• Reference Dong et al. Smart Mining of Drug
  Discovery Information 1. A web service and
  workflow infrastructure, Journal of Chemical
  Information and Modeling, submitted
• Drug discovery science is plagued by information
  breakdowns due the volume, complexity and
  heterogeneity of information
• Reference Wild, D.J., Strategies for using
  information effectively in early-stage drug
  discovery, in Ekins, S (ed), Computer
  Applications in Pharmaceutical Research and
  Development, Wile-Interscience, Hoboken, 2006.