An environmentalist at heart and curious by nature, I am passionate about using my computational and analytical skills to better inform medical decisions and improve patient care. This is what drove me towards CSS, where I am really fortunate to work in a multi-disciplinary team of data scientists, researchers, and clinicians to further the field of personalized medicine.

Center for Surgical Science (CSS)

Bioinformatician (Feb 2021 – present)


University of Copenhagen

Assistant Lecturer (Nov 2020 – Jan 2021)


CACTUS Communications

Scientific Editor (Oct 2020 – Feb 2021)


University of Copenhagen

System Administrator (Student Assistant) (June 2018 – Sep 2019)

University of Copenhagen

MSc Bioinformatics (spec. Computational Biology), 2019

Vellore Institute of Technology

BTech Computer Science Engineering (spec. Bioinformatics), 2017

My primary research goal at CSS is to create robust risk prediction models conducive to bettering clinical outcomes. This work ranges from anonymizing Danish healthcare registries, transforming the registries into the OMOP Common Data Model, building AI risk models, to configuring & maintaining the computational infrastructure needed for big data analysis. The aim of the project is to personalize treatment plans for surgical patients by classifying individual risk.

Research keywords

#Personalized Medicine #Machine Learning #Medical Informatics #OHDSI #OMOP CDM #OMICs #Epigenetics