Has researchcollaboratorsin anothercountryBeerenthusiastWorkswith yeastcellsPlaysCandyCrushPreviousPGSRMparticipantWorkswithnanotech.Has otherscientistsin his/herfamilyCancerresearcherLikesto dosudokuLikes to skiorsnowboardResearchinvolvesimmuno-therapiesStudiespharmacog-enomicsWorkswith ratmodelsResearchesobesity-relateddisordersResearchinvolvesmiRNAHasworked inindustrybeforeResearchinvolvesnaturalproductsPerformsPK/PDcharacterizationDiabetesresearcherConsidersthemselvesa wineaficionadoHas anMD orPharmDalreadySpeaks 3or morelanguagesfluentlyPerformsmetabolomicstudiesExperiencedinexperimentalmicemodelsHas researchcollaboratorsin anothercountryBeerenthusiastWorkswith yeastcellsPlaysCandyCrushPreviousPGSRMparticipantWorkswithnanotech.Has otherscientistsin his/herfamilyCancerresearcherLikesto dosudokuLikes to skiorsnowboardResearchinvolvesimmuno-therapiesStudiespharmacog-enomicsWorkswith ratmodelsResearchesobesity-relateddisordersResearchinvolvesmiRNAHasworked inindustrybeforeResearchinvolvesnaturalproductsPerformsPK/PDcharacterizationDiabetesresearcherConsidersthemselvesa wineaficionadoHas anMD orPharmDalreadySpeaks 3or morelanguagesfluentlyPerformsmetabolomicstudiesExperiencedinexperimentalmicemodels

Get To Know Your Fellow PGSRM 2014 Participants - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Has research collaborators in another country
  2. Beer enthusiast
  3. Works with yeast cells
  4. Plays Candy Crush
  5. Previous PGSRM participant
  6. Works with nanotech.
  7. Has other scientists in his/her family
  8. Cancer researcher
  9. Likes to do sudoku
  10. Likes to ski or snowboard
  11. Research involves immuno-therapies
  12. Studies pharmacog-enomics
  13. Works with rat models
  14. Researches obesity-related disorders
  15. Research involves miRNA
  16. Has worked in industry before
  17. Research involves natural products
  18. Performs PK/PD characterization
  19. Diabetes researcher
  20. Considers themselves a wine aficionado
  21. Has an MD or PharmD already
  22. Speaks 3 or more languages fluently
  23. Performs metabolomic studies
  24. Experienced in experimental mice models