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Dan Tulpan

Position/Title: Assistant Professor
email: dtulpan@uoguelph.ca
Phone: (519) 824-4120 ext. 52482
Office: ANNU 127

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Dr. Tulpan is an Assistant Professor with the Department of Animal Biosciences with research interests ranging from computational biology and bioinformatics to mathematical modelling and computer vision applied to livestock breeding and other areas relevant to animal and plant sciences. Previously, Dr. Tulpan was a research officer in the Scientific Data Mining Team, within the Digital Technologies Research Center at the National Research Council in Moncton, New Brunswick, where he headed the NRC Atlantic Bioinformatics Laboratory. In his scientific career, Dr. Tulpan published over 50 peer-reviewed scientific articles, edited a book, co-authored scientific software for computational biology and bioinformatics and contributed to the formation of several highly qualified personnel such as students and programmers. Dr. Tulpan also serves on several international conferences and journal editorial boards, co-organizes the Conference Track on Bioinformatics and maintains strong research collaboration with researchers in Italy, Switzerland, Spain and other countries.

Academic history

  • Postdoctoral Fellow, Simon Fraser University, Department of Molecular Biology and Biochemistry, 2006-2007
  • Ph.D., University of British Columbia, Department of Computer Science, 2000-2006
  • B.Sc./B.Eng., Politechnic University of Bucharest, Department of Engineering Sciences and Computers, 1995-2000

Affiliations and Partnerships

  • Adjunct Professor, School of Computer Science, University of Guelph
  • Association of Computing Machinery (ACM)

Selected Awards and Honours

  • 2018: NRC Instant Award, For significant effort and support in hosting the Next Generation Sensors workshop and developing the subsequent proposal in support of potential Challenge programs.
  • 2015: ISMB - BioVis Design Contest Award (1st Place), The Circular Secondary Structure Uncertainty Plot (CS2-UPlot) - Visualizing RNA Secondary Structure with Base Pair Binding.
  • 2015: Breakthrough of the Year - NRC ICT Award Project, An Enrichment Model for Wheat Gene Annotations Using Phylogeny, Orthology and Existing Gene Ontologies.
  • 2005: Travel Award ($400), Engineering a DNA World Workshop, California Institute of Technology, Pasadena, California.
  • 2001 - 2003: University Graduate Fellowship ($16,000/year), University of British Columbia, BC, Canada.
  • 1995 - 2000: University Undergraduate Scholarship ($500/year), Polytechnic University of Bucharest, Romania.
  • 1999: ERASMUS European Scholarship (4,000 EUR), Project: Simulated annealing training algorithm for feed-forward neural networks, Oerstead Laboratory, University of Copenhagen, Denmark.
  • 1998: TEMPUS European Scholarship (4,400 EUR), Project: Genetic algorithms and simulated annealing optimization of electronic circuit parameters, Digital Signal Processing Laboratory, Denmark Technical University, Denmark.


Research Themes and Projects

  • Theme 1: Development of an automatic real-time data acquisition platform for phenomics, physiological and environment information for livestock and poultry. The platform should be capable to capture and store information in real-time and periodically based on a variety of on-animal (e.g. accelerometers, magnetometers, gyroscopes, visual, audio, location), off-animal (e.g. cameras, thermal imaging, walk-over scales, LIDAR lasers) and/or in-animal (e.g. RFID chips) sensors. Ideally, the platform will be able to interface with existing acquisition systems developed by other research groups.

Projects TBA

  • Theme 2: Development of bioinformatics and computer vision data integration pipelines capable to efficiently select, filter, model and process the acquired information. The original data will be transformed into ready-to-analyze information and will be combined when needed with complementary external information resources (e.g. environment data, GPS locations, maps, other omics sources)

Projects TBA

  • Theme 3: Development of real-time interactive analytic and visualization tools to turn high-throughput phenomics data into testable hypotheses and actionable results and facilitate genotype-phenotype association studies.

Projects TBA


(Under)Graduate Student Information

Dr. Tulpan's research is truly interdisciplinary and has a strong Bioinformatics and Computational Biology component. Therefore, students are expected to have good computing skills and be willing, deeply interested and open to learn new tools and to apply their knowledge on biological problems. Supervising, mentoring, guiding and working with talented hard working students is a passion for Dr. Tulpan and will enable students to reach their true research potential and expand their knowledge horizon with each project they will contribute to.


Featured Publications

For a more comprehensive list of publications please visit Dr. Tulpan's Google Scholar page.

Featured Bioinformatics Software and Data Sets