Summary
Maria Grigorieva is a scientific researcher and PhD in Computer Science with 11+ years of experience building data analytics, monitoring and visual-analytic systems for mega-science projects, notably as an ATLAS (CERN) collaborator since 2015. She has led teams of 8–10 researchers, secured recurring grants (~€90k/yr and multi-million-ruble RSF awards), and translated large-scale distributed computing telemetry into operational improvements for Grid and HPC infrastructures. Maria is the creator of ClusterLogs, an open-source framework for automated log-message clustering, and has published 30+ peer-reviewed papers with applied work showcased on her operational analytics GitHub. Her technical toolkit spans Python, Celery, NoSQL, ElasticSearch/Cassandra, ML/NLP, and visualization stacks (Tableau, Grafana, Superset, Plotly/Dash), enabling end-to-end data ingestion, aggregation and prescriptive analytics. Known for a collaborative, sociable style, she balances hands-on system design with administrative leadership and teaching, having developed a masters course on IT in mega-science experiments. An uncommon strength is her track record of converting experimental log and workload analysis into concrete compute-efficiency gains across distributed research infrastructures.
11 years of coding experience
13 years of employment as a software developer
specialist, Computer Analyst in the Information Sphere, specialist, Computer Analyst in the Information Sphere at Russian State University for the Humanities
Диплом специалиста по инженерной специальности, Информационные технологии, Информатик-аналитик в информационной сфере, Диплом специалиста по инженерной специальности, Информационные технологии, Информатик-аналитик в информационной сфере at Russian University of Humanities
Doctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at ITMO University