Arbeitsbereiche
Early Stage Researcher at the Helmholtz Zentrum München (GmbH), Institute of Epidemiology
Kontakt
Institut für Epidemiologie
Ingolstädter Landstraße 1
D-85764 Neuherberg
Raum:
Building 56, Room 201 (Open Space)
Telefon:
+49 176 46688344
E-Mail:
asmaa.alselwi@helmholtz-munich.de
Research
Project Title:
Long-term exposure to environmental factors and cardiometabolic multimorbidity, and all-cause mortality
Research interests:
My research examines how environmental exposures, such as air pollution, ambient temperature, and neighbourhood greenness, impact cardiovascular and metabolic health, with a particular focus on cardiometabolic multimorbidity. The overarching goal of my work is to generate epidemiological evidence to inform preventive strategies and public health policies that reduce environmental health risks and support healthy ageing.
Areas of interest:
- Environmental Epidemiology
- Cardiometabolic Health
- Chronic Disease Prevention
- Healthy Ageing
Supervisors
Prof. Dr. Annette Peters
PD Dr. Susanne Breitner-Busch
Prof. Dr. Andreas Daiber
Curriculum Vitae
EDUCATION
2024 - present: PhD Candidate in Medical Research (Epidemiology & Public Health) at LMU Munich and part of the Cohorts for Healthy Ageing (CoAGE) & YoungNAKO graduate programs, Helmholtz Munich & Institute of Molecular Biology (IMB) Mainz
2021 - 2024: M.Sc. Public health-Epidemiology, Jordan University of Science and Technology, Jordan
2009 - 2014: B.Sc. Dental Surgery (B.D.S.), Sana’a University, Yemen
WORK EXPERIENCE
2023 - 2024: Visiting researcher & master’s thesis at Helmholtz Munich (Institute of Epidemiology, Environmental risk research group)
2017 - 2021: Teacher assistant at Sana’a University & Emirate University, Sana’a - Yemen
2016 - 2021: Dentist at Dentarise Dental Center & French Dental Center for Orthodontics, Sana’a - Yemen
2014 - 2016: Clinical internship at Al-Jumhouri Hospital & Al-Quds Military Hospital, Sana’a - Yemen
PUBLICATIONS
Factors Influencing Medication Administration Errors as Perceived by Nurses in Pediatric Units in a Jordanian Tertiary Hospital: A Qualitative Descriptive Study
DOI: 10.1177/01939459241227768
Predicting hypoglycemia in ICU patients: a machine learning approach
DOI: 10.1080/17446651.2024.2403039
