Carnegie Mellon University
LINCC Frameworks Project Scientist
Konstantin Malanchev’s research primarily revolves around time-domain explorations, utilizing data science techniques. Konstantin has developed and contributed to numerous tools and pipelines for analyzing light curves, with a specific focus on anomaly detection and classification problems. He is a member of SNAD collaboration for anomaly detection, LSST Transient and Variable Star and Dark Energy Science Collaborations, and ELAsTiCC team for LSST time-domain simulations.