FEMS-ASM Mäkelä-Cassell Travel Award for Early Career Scientists
The FEMS-ASM Award supports the reciprocal exchange of one member from each organization to present his/her research at the other organization’s main conference. It has been designed to benefit early career scientists from both organizations by giving them the opportunity to present their work overseas and experience the best of microbiology in the partner country.
ASM will select the member attending the biannual FEMS Congress and FEMS will select the member attending the ASM General Meeting occurring in intermittent years when no FEMS Congress is held.
These awards are to support travel and living costs of the grantee only.
FEMS Applicants
FEMS will select the member attending the ASM General Meeting occurring in 2020. Applicants should be microbiologists active in research and be current PhD (or equivalent) student or recipient of PhD within the past five years. They should be members of a FEMS Member Society.
ASM Applicants
ASM will select the member attending the FEMS Congress occurring in 2021. Applicants should be microbiologists active in research and be current PhD (or equivalent) student or recipient of PhD within the past five years. They should be members of ASM.
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Past Winners of the Mäkelä-Cassell Awards
2019
FEMS-ASM Mäkelä-Cassell Award Awardee | Valerie de Anda, Postdoctoral Researcher at the University of Texas at Austin, USA
2018
ASM-FEMS Mäkelä-Cassell Award Awardee | Mohd Zulkifli Salleh, Graduate Teaching Assistant at University of Manchester, UK
2017
FEMS-ASM Mäkelä-Cassell Award Awardee | Kana Morinaga
2016
ASM-FEMS Mäkelä-Cassell Award Awardee | Ajijur Rahman
2015
FEMS-ASM Mäkelä-Cassell Award Awardee | Ember Morrissey
2014
ASM-FEMS Mäkelä-Cassell Award Awardee | Francesca Turroni
2013
FEMS-ASM Mäkelä-Cassell Award Awardee | Clayton Caswell
Applications of Mathematical Models
This Thematic Issue of Pathogens and Disease explores the applications of mathematical models. This issue has a particular focus on host-pathogen dynamics and population health applications, as well as the future of biomathematical modelling in terms of big data analytics. It features outstanding articles that outline next-generation approaches to this field by using advance software approaches with mathematical frameworks to tackle problems in epidemiology and infection treatment.
