I am a software engineer at Google Health working on the team that builds a mammography screening software to predict breast cancer. My path in Alphabet started in 2018, when I joined DeepMind and started working on a team developing a DNN architecture to predict several adversary clinical events from patients' medical records focussing on acute kidney injury. This work was eventually published in Nature.
Prior to Alphabet, I was a bioinformatician at European Molecular Biology Laboratory (Heidelberg, Germany) developing novel methods for mass-spectrometry-based spatial metabolomics. And before that I was part of the team developing an open-source bioinformatics software suite Unipro UGENE (Novosibirsk, Russia) for the analysis and visualization of genomic data.
I got MS with honours and BS with honours in Physics at Novosibirsk State University.