While at AIMS, Aneva’s research focused on the impact of loss of immunity and seasonal fluctuations on the transmission of SARS-CoV-2. She found that the specific high transmission rate of the virus sets it apart from other viruses with similar characteristics. Interestingly, high levels of contamination can actually reduce epidemic peaks. Additionally, she found that the timing of vaccinations and contact-reducing measures is crucial in effectively reducing the level of outbreaks.

Aneva is currently a Master’s student in mathematics, modeling, and machine learning at the University of Paris Cité. She is conducting research in image processing with a focus on curve reconstruction for super-resolution in fluorescence microscopy.