LabCompass

Mark Daniel Ward

Computer Science · Purdue University West Lafayette

OpenAlex ORCID
Established · publishing since 1970
Algorithms and Data CompressionStochastic processes and statistical mechanicsAdvanced Combinatorial Mathematicssemigroups and automata theoryMathematical Dynamics and Fractals

Publications

90

Citations

653

Est. group size

~2

Recurring co-author estimate

Active years

56

Publishing since 1970

Research summary
AI-generated

Mark Daniel Ward works on the mathematical analysis of algorithms, combinatorics, and probability, including topics like word/string patterns, partition functions, and random processes (such as Pólya urns). He also has a parallel line of work on data science education, including building undergraduate and community-based data science programs. Prospective students could expect a mix of theoretical combinatorics/probability research and applied work on data science training and curriculum design.

Analysis of algorithms and data compressionCombinatorics and partition functionsProbability and stochastic processes (e.g., Pólya urns)String/word pattern analysisData science education and workforce development

Publication output has been relatively steady but modest over the last decade, fluctuating between 2 and 6 papers per year with no strong upward or downward trend.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.4/year recently
2017: 5 publications172018: 3 publications182019: 3 publications192020: 6 publications6202021: 5 publications212022: 2 publications222023: 4 publications232024: 4 publications242025: 2 publications2526
Recent publications
Publishes in
  • arXiv (Cornell University)×9
  • Discrete Mathematics & Theoretical Computer Science×3
  • The American Statistician×2
  • AMSTAT news: the membership magazine of the American Statistical Association×2
  • Education Sciences×1
Similar researchers
By research-topic overlap

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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