JPIAMR 14th Call Partner Search Tool

General Information

• Type: Partner looking for project
• Organisation: Helmholtz Zentrum Munich
• Country: Germany (DE)

Research area

• Scientific area(s) of the call:
  1. Improvement of drug/plant protection agent efficacy and/or specificity through chemical modifications (including hit to lead optimisation)
  2. Drug/plant protection agent repurposing
  3. Optimisation of drug/plant protection agent combinations, alone or with adjunct therapies (including therapeutic vaccines)
  4. Design and implementation of new strategies (including optimisation of drug doses) for improved application, efficacy and delivery of single or combinations of antimicrobials
  5. Design and implementation of innovative tools, including novel chemistry and/or new materials for improved application, efficacy and delivery of antimicrobials
• One Health Setting:

  Human Health

• Type of studies/experimental approaches:

  in silico, in vitro, in vivo

• Keywords:

  Artificial Intelligence; Machine Learning;Computational Biology;Infectious Diseases

• Brief description of your expertise / expertise you are looking for:

  I am a clinically-trained computational biologist with expertise in the fields of pathogen evolution, single cell biology and machine learning (ML) and Artificial Intelligence (AI).

• Brief description of your project / the project you would like to join:

  My team and I are interested in developing and applying AI/ML methods to tackle antimicrobial resistance. We are looking for projects where we can assist with development and design of new strategies or identification f mechanisms in the pathogen.

Carlos Talavera-López

• Organisation: Helmholtz Zentrum Munich
• Position: Group Leader
• E-mail: carlos.lopez@helmholtz-muenchen.de
• Web: cartal.github.io/about/