Laxmi Parida  Laxmi Parida photo       

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Distinguished RSM & Manager, Computational Genomics Group
Thomas J. Watson Research Center, Yorktown Heights, NY USA
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Professional Associations

Professional Associations:  ACM  |  International Society for Computational Biology  |  Society for Industrial and Applied Mathematics

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More information:  Group page


  1. On the path towards genomic medicine, Schloss Dagstuhl, Internationales Begegnungs und Forschungszentrum fur Informatik, Germany. Aug 19-23, 2013.
  2. Random graphs in Population Genomics, CiE , Milano, Italy, July 01, 2013.
  3. Evolution of a Computational Genomicist, Women in Computability, CiE , Milano, Italy, July 01, 2013.
  4. Making Sense of Big Data, USDA-ARS , Maryland, Feb 5-6, 2013.
  5. iXora: exact Haplotype Inferencing and Trait association, PAG XXI, San Diego, Jan 12-16, 2013.
  6. The Role Of Haplotyping In Mapping The Pod Color Trait , (with Niina Haiminen) PAG XXI, San Diego, Jan 12-16, 2013.
  7. Combinatorics of ARGs, Schloss Dagstuhl, Internationales Begegnungs und Forschungszentrum fur Informatik, Germany. July 15-20, 2012.
  8. Combinatorics: an underdog in the toolkit ?, Special Session on Challenges in Computational Biology, RECOMB, Barcelona, April 28-29, 2012.
  9. Gene synteny among cacao and other plants, (with Niina Haiminen) PAG XX, San Diego, Jan 14-18, 2012.
  10. Recombination-based genomics: a genetic variation analysis in human populations, Albert Einstein College of Medicine, Bronx, Sept 21, 2011.
  11. Recombination-based genomics: a genetic variation analysis in populations, Indiana University, Bloomington, Sept 15, 2011.
  12. The Re-combinatorics of Chromosomes, Computer Science Colloquia, Purdue University, West Lafayette, Sept 13, 2011.
  13. Entropy of a standard ARG is not very high!, Parc de Recerca Biomedica de Barcelona (PRBB), Barcelona, Spain, Feb 23, 2011.
  14. The Cacao Genome Project, (with Niina Haiminen) PAG XIX, San Diego, Jan 15-19, 2011.
  15. Beyond SNPs: Influence of Genetic Recombinations on Population Structures, Genomics & Genomic Medicine, Lee Gil Ya Cancer and Diabetes Institute, Gachon University of Medicine and Science, Incheon, Jan 13, 2011.
  16. Random Graphs and Population Genetics, Seoul National University, Seoul, Jan 10, 2011.
  17. The Re-Combinatorics of Diploids, Columbia University, Oct 20, 2010.
  18. The Re-Combinatorics of Diploids, CCMB Distinguished Lecture Series, Brown University, Sept 29, 2010.
  19. How robust are NGS whole-genome assemblies? A case study with plant genomes, (with Niina Haiminen) ECCB, Ghent, Belgium, Sept 28, 2010.
  20. Combinatorics of Recombinations in Diploids, NCBI/NIH, Bethesda, July 30, 2010.
  21. Random graphs and population genomics, Schloss Dagstuhl, Internationales Begegnungs und Forschungszentrum fur Informatik, Germany. June 06-11, 2010.
  22. Combinatorics In Recombinational Population Genomics, , keynote at ISBRA, Storrs, May 23-26, 2010.
  23. Recombinomics: Phylogenetic approach to genome-wide analysis in populations, , keynote at C* Conference on Computer Science & Software Engineering (C3S2E), Montreal, May 19-20, 2010.
  24. Graph Theory in Recombinational Population Genomics, keynote at APBC (Asia Pacific Bioinformatics Conference) Bangalore, Jan 18-22, 2010.
  25. Graph Theoretic Approaches to RECOMBINOMICS, keynote at Robert Cedergren Bioinformatics Colloquium, Université de Montreal, Nov 5-6, 2009.
  26. Graph Theory in Recombinational Population Genomics, CSE Colloquium Series, UCONN, Oct 12, 2009.
  27. RECOMBINOMICS: myth or reality ? DIMACS Workshop on Algorithmics in Human Population-Genomics, April 27--29, 2009.
  28. Combinatorial-Statistic of Genes, Department of Computer Science, Princeton University, Princeton, Feb 19, 2009.
  29. Informatics in Bioinformatics, keynote address at International Symposium on Role of IT Professionals in Bioinformatics, Regional College of Management (RCM), Bhubaneswar, Jan 7, 2009.
  30. Deep Computing in Biology, National Institute of Science Education and Research (NISER), Bhubaneswar, Jan 6, 2009.
  31. Modeling Statistical Significance of Gene Clusters, Supercomputer Education and Research Centre (SERC), Indian Institute of Science (IISc), Bangalore, Dec 30, 2008.
  32. A Case for Recombinomics, Strand Life Sciences, Bangalore, Dec 30, 2008.
  33. RECOMBINOMICS: myth or reality ?National Centre for Biological Sciences (NCBS), Bangalore, Dec 29, 2008.
  34. Mathematical Models in Recombinomics, University of Delhi, International Congress of Mathematics, New Delhi, Dec 19-20, 2008.
  35. Algorithmics in Recombinational Phylogeography, IBM T J Watson, Hawthorne, Dec 08, 2008.
  36. Algorithms in Population Genetics, NYU Women in Computing, IBM T J Watson, Nov 14, 2008.
  37. Combinatorial Statistics of Gene Clusters, Mathematical & Computational Biology Seminar, Department of Mathematics, , University of California, Berkeley, Oct 29, 2008.
  38. Are we ready for OMICS of recombinations? Data Mining for Biomedical Applications , University of Florida, Gainesville, Florida, Oct 1, 2008.
  39. Mathematics of Motifs in Biology, Lecture Series on [Re]Sequencing and Annotation of Genomes, International School on Biology, Computation and Information (BCI), Cluster in Biomedicine (CBM), Bassovizza, Trieste, Italy, Sept 08-12, 2008.
  40. Exploring the Recombinant Genome for Phylogeography, Universita Delgi Studi di Padova, Padua, Italy, Sept 04, 2008.
  41. Taming Patterns in Biological Data, Keynote address at Data Mining for Biomedical Informatics, 8th SIAM International Conference on Data Mining (SDM 2008), Atlanta, April 24-26, 2008.
  42. Algorithms For Inferring Deep Ancestry, Innovation in Drug Discovery and Development, IBM Life Sciences Virtual Expo, April 16-17, 2008.
  43. Taming Patterns through Combinatorics in Bioinformatics, Parc de Recerca Biomedica de Barcelona (PRBB), Barcelona, March 26, 2008.
  44. Combinatorics and Statistics of Gene Clusters, ACO (Algorithms, Combinatorics and Optimizations) Seminar, School of Mathematics, Georgia Tech, Atlanta, Feb 29, 2008.
  45. Combinatorics and Statistics of Gene Clusters, Mathematics of Knowledge and Search Engines: Search and Knowledge Building for Biological Datasets, IPAM (Institute for Applied and Pure Mathematics), University of California, Los Angeles, Nov 26-30, 2007.
  46. Combinatorics and Statistics of Gene Clusters, IBM Watson Research Math Seminar Series, Nov 9, 2007.
  47. Theory and Algorithms of Patterns, tutorial at the ISMB & ECCB (Intelligent Systems for Molecular Biology & European Conference on Computational Biology), Vienna, Austria, July 21-25, 2007.
  48. Combinatorics in Bioinformatics: Permutations and Applications, Genome Biology and Bioinformatics (GBB) Retreat, University of Toronto, Toronto, May 31, 2007.
  49. Pattern Discovery in Bioinformatics, IMA/MCIM Industrial problems seminar, Institute for Mathematics and its Applications/Minnesota Center for Industrial Math, University of Minnesota, Minneapolis, May 4, 2007.
  50. Permutations in Bioinformatics, Department of Computer Science, New Jersey Institute of Technology, Newark, April 30, 2007.
  51. Some Applications of Combinatorics in Bioinformatics, Physics Seminar, The Institute of Mathematical Sciences, Chennai, Dec 29, 2006.
  52. What can Bioinformatics do for you?, Institute of Bioinformatics and Applied Biotechnology (IBAB), Bangalore, Dec 28, 2006.
  53. Permutations in Bioinformatics, Computational Insights into Biological Systems, Indian Institute of Sciences, Bangalore, Dec 26-28, 2006.
  54. Permutations in Bioinformatics, International Conference on Bioinformatics, InCoB, Delhi, December 18-20, 2006.
  55. Generalized Permutation Patterns: Theory, Algorithms & Applications, at Center for Computational Biology and Bioinformatics, Columbia University Medical Center, June 08, 2006.
  56. Topological Motif Discovery, jointly with David Gilbert, Bioinformatics Research Center, University of Glasgow, at Schloss Dagstuhl, Internationales Begegnungs und Forschungszentrum fur Informatik, Germany. May 17, 2006.
  57. Gapped Permutation Patterns with Bounded Length, Schloss Dagstuhl, Internationales Begegnungs und Forschungszentrum fur Informatik, Germany. May 15, 2006.
  58. A Common Framework for Mining Motifs in Diverse Data, Department of Computer Science, New Jersey Institute of Technology, Newark, April 18, 2005.
  59. Topological motifs: can stringology help? The Second Haifa Annual International Stringology Research Workshop of the Israel Science Foundation, The Caesarea Edmond Benjamin de Rothschild Foundation, Institute for Interdisciplinary Applications of Computer Science, Haifa, April 3-8, 2005. (conference photos by Stefano, by Laurant, by Veli)
  60. Combinatorics and Statistics of Motifs, IBM Haifa Research Lab, Haifa, Israel, April 4, 2005.
  61. Exploiting Patterns in Biological Data, Computer Science Distinguished Lecture Series, Arizona State University, Tempe, March 28, 2005.
  62. A Uniform Framework for Studying Patterns in Data, National University of Singapore, Singapore, Jan 20, 2005.
  63. Unusual Motifs in Biological Data, Computer Science & Engineering Colloquia Series, Michigan State University, East Lansing, Nov 15, 2004.
  64. Discovering Patterns for Understanding Biological Data, New York Academy of Sciences, Nov 10, 2004.
  65. Exploiting Regularities in Biological Data, Computer Science Colloquium, City University of New York, October 7, 2004.
  66. Unusual Motifs in Biological Data, Department of Computer Science Colloquia Series, and seminar series in Bioinformatics Research Center, North Carolina State University, Raleigh, Sept 30, 2004.
  67. Permutation and Other Motifs, School of Computer Science, Tata Institute of Fundamental Research, Mumbai, Sept 3, 2004.
  68. Towards Understanding Large Volume Biological Data, tutorial at Utkal University, Bhubaneswar, August 30, 2004.
  69. A formal treatment of the problem of Pattern Discovery, tutorial at the ISMB & ECCB (Intelligent Systems for Molecular Biology & European Conference on Computational Biology), Glasgow, UK, July 31-Aug 4, 2004.
  70. Understanding Biological Data Through Patterns, Seminar series, Othmer Institute for Interdisciplinary Studies, Polytechnic University, New York, May 19, 2004.
  71. On the Problem of Extensible Substring Patterns, General Theory of Information Transfer and Combinatorics, Zentrum fur interdisziplinare Forschung, Bielefeld, Germany, April 26-30, 2004.
  72. Permutation Motifs in Biological Data, Bioinformatics Symposium, The Center for Advanced Computer Studies, University of Louisiana, Lafayette, April 8, 2004.
  73. Permutation Patterns, Departement d'Informatique et de Recherche Operationnelle, (Laboratoire de Biologie informatique et Theorique), Unversite de Montreal, Montreal, Feb 5-6, 2004.
  74. Exploiting Regularities in Data for Bioinformatics, Computer Science and Information Technology, RMIT University, Melbourne, Australia, July 4, 2003.
  75. Flexible Pattern Discovery based on Inexact-Suffix Trees, Zentrum fur interdisziplinare Forschung, Bielefeld, Germany, February 18-20, 2003.
  76. Permutation Patterns and Bioinformatics, General Theory of Information Transfer and Combinatorics, Zentrum fur interdisziplinare Forschung, Universitat Bielefeld, Bielefeld, Germany, November 3-9, 2002. (at Bielefeld palace with the Mayor)
  77. Bioinformatics and Pattern Discovery , University of Maryland, College Park, April 29, 2002.
  78. Bioinformatics and Pattern Discovery , Yale University, New Haven, April 9, 2002.
  79. Bioinformatics and Pattern Discovery , Johns Hopkins University, Baltimore, March 15, 2002.
  80. Computational Biology and Pattern Discovery , Theory Day 2001, New York, November 16, 2001.
  81. Discovering Information from Data , WORDS 2001, Palermo, September 17-21, 2001.
  82. The Role of Algorithms in Bioinformatics, Biofuture 2001, Toronto, September 5-7, 2001.
  83. Pattern Discovery and Applications, Sequence Analysis and Annotation, Symposium on Computational Genetics , Cleveland, October 20, 2000.
  84. Flexible Pattern Discovery , Summer School at the Eleventh Annual Symposium on Combinatorial Pattern Matching, Montreal, June 19-20, 2000.
  85. Motif Discovery in Computational Biology, Computational Biology and Bioinformatics Lecture Series, Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, December 13, 1999.
  86. Pattern Discovery in Sequence Data: Linear Bound on a Basis Set, Computer and Information Science Seminar Series, Brooklyn Polytechnic University, New York, November 29, 1999.
  87. Pattern Discovery: Theory and Practice, Workshop on Knowledge Management: Moving from Business to Technical and Scientific Domains, CASCON, Toronto, Canada, November 9, 1999.
  88. Mulitple Sequence Alignment using MUSCA , Columbia Genome Center, Columbia University , New York, October 15, 1999.
  89. Motif Discovery and Applications, Computer Science Colloquium, Graduate School and University Center, City University of New York, May 25, 1999.
  90. An Algorithm for Multiple Sequence Alignment, IBM India Research Laboratory, New Delhi, April 23, 1999.
  91. Theoretical Issues in Single Molecule Methods, Department of Computer Science, University of Auckland, Auckland, January 14, 1999.
  92. Problem of Physical Mapping in Single Molecule Methods, Department of Information Science, University of Tokyo, Tokyo, December 11, 1998.
  93. Algorithmic Issues in Computational Genomics, IBM Thomas J Watson Research Center, March 19, 1998.
  94. Algorithmic Issues in Computational Genomics, Department of Computer Science, University of Georgia, Athens, March 17, 1998.
  95. Algorithmic Issues in Computational Genomics, Department of Mathematical and Computer Sciences, Loyola University Chicago, Chicago, March 13, 1998.
  96. Algorithmic Issues in Computational Genomics, Department of Computer Science, University of Iowa, Iowa City, March 9, 1998.
  97. Algorithmic Issues in Computational Genomics, Department of Computer Science, State University of New York Stony Brook, March 4, 1998.
  98. Algorithms for Single Molecule Methods , Department of Computer Science, SUNY Brockport, Brockport, February 23, 1998.