This blog is dedicated to showcasing my skills as a data scientist with an understanding of health economics, epidemiology and medicine.
Qualifications:
Ph.D. in diabetes epidemiology and health economics
Studied the use of antidiabetic drugs and their utilisation in Denmark, and economic model assumptions used in their comparisons in cost-effectiveness analyses using decision analytical models
- Three observational studies
- Published review in PharmacoEconomics of economic model assumptions when comparing newer medications for treating type 2 diabetes
- Data sources: registry data from The Register of Pharmaceutical Sales and The National Patient Register
Worked as a scientific assistant
- Published review of PDSA frameworks as used in the real world
- Cost analysis of haematological medicine
Other work
Projects at
- Center for Ernæring og Tarmsvigt: Data cleaning, and joining of multiple different databases, algorithm application, and patient pathway visualisations of patients for patients with sarcopenia and chronic intestinal failure
- Sanos Clinic: Javascript table, learning about front and backend, and making model in R to visualise connection between ad spending trial signup