JPIAMR 13th Call Partner Search Tool

General Information

• Type: Partner looking for project
• Organisation: University of Warsaw
• Country: Poland (PL)

Research area

• Scientific area(s):
  1. Understand the impact of interventions on development and transmission of AMR
  2. Design, implement, evaluate, and compare innovative interventions to control the development and transmission of AMR
• One Health Setting:

  Human Health

• Keywords:

  genomics; molecular biology; computational biology; bioinformatics; machine learning

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

  I develop and apply state-of-art statistical and machine learning methods for molecular and biomedical data. With a background in biomedical engineering (BSE, Duke University) and quantitative and computational biology (Ph.D./M.A., Princeton University), I have a wide range of expertises related to rigorous analysis of data.

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

  I am interested in contributing towards computational approaches to antimicrobial resistance (AMR). In particular, genomics and other molecular biology plays a critical role in AMR. Therefore, I foresee statistics and machine learning are needed to better analyze and interpret large datasets coming out of experimental and observational studies.

Neo Christopher Chung

• Organisation: University of Warsaw
• Position: Assistant Professor
• E-mail: nchchung@gmail.com
• Web: cbml.science/