Nikita Trojanskis

Research Interests

My pronouns are he/him.

Broadly, I am interested in the use of innovative digital solutions, like AI and machine learning, in healthcare. My DPhil aims to use the existing wealth of SARS-CoV-2 phylogenetic data to forecast the future of its evolution. In other words, I try to predict the next strain of SARS-CoV-2. If successful, this approach can be transferred to a multitude of other viruses and make our surveillance, epidemic control and therapeutic efforts more proactive. I was the senior coordinator of the COVID-19 vaccination process in Latvia and led the only epidemiological modelling effort during the COVID-19 pandemic in Latvia, responding directly to the Minister of Health. I have worked in the UNAIDS in Geneva, led the development of the first decentralised contact-tracing app in the EU, and acted as an editor in a global health think tank Polygeia. In addition to IT and research, I am enthusiastic about managing complex multi-stakeholder projects in healthcare and science communication.

My DPhil is generously funded by the prestigious Clarendon Fund Scholarship, granted to ~1% of all postgraduate students in Oxford.