IDDO Head of Data Engineering
Kalynn joined IDDO in August 2016. As Head of Data Engineering, she is responsible for the development of data standards, the robustness of the curation process, assuring the quality of the data, and the efficiency of the data curation team.
Before moving to Oxford, Kalynn worked for over four years on the Nashville Breast Health Study, a breast cancer epidemiology project at Vanderbilt University Medical Center and then six years coordinating a variety of interventional trials for children with language delays at the KidTalk group at Vanderbilt University. She has a BS in Interdisciplinary Studies from Vanderbilt University.
Pregnancy outcomes and risk of placental malaria after artemisinin-based and quinine-based treatment for uncomplicated falciparum malaria in pregnancy: a WorldWide Antimalarial Resistance Network systematic review and individual patient data meta-analysis
Saito M. et al, (2020), BMC Medicine, 18
Efficacy and tolerability of artemisinin-based and quinine-based treatments for uncomplicated falciparum malaria in pregnancy: a systematic review and individual patient data meta-analysis
Saito M. et al, (2020), The Lancet Infectious Diseases, 20, 943 - 952
Association of mutations in the Plasmodium falciparum Kelch13 gene (Pf3D7_1343700) with parasite clearance rates after artemisinin-based treatments—a WWARN individual patient data meta-analysis
(2019), BMC Medicine, 17
Efficacy of artemisinin-based and quinine-based treatments for uncomplicated falciparum malaria in pregnancy: a protocol for systematic review and individual patient data (IPD) meta-analysis
Saito M. et al, (2019), BMJ Open, 9, e027503 - e027503
EFFICACY AND TOLERABILITY OF ARTEMISININ- AND QUININE-BASED TREATMENTS FOR UNCOMPLICATED FALCIPARUM MALARIA DURING PREGNANCY: A WWARN INDIVIDUAL PATIENT DATA META-ANALYSIS
Saito M. et al, (2019), AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, 101, 81 - 81