Sreelekha Guggilam

Research Associate in Machine Learning

Lekha joined ORNL in 2022 as Research Associate in Machine Learning,  building statistical algorithms for anomaly detection, probabilistic graphical models, and foundation models for geospatial analysis. As part of the Geospatial Artificial Intelligence (GeoAI) group in the Geospatial Science and Human Security Division (GSHSD) at the National Security and Sciences Directorate (NSSD), her research focuses on developing novel algorithms to identify anomalies in a collection of evolving multivariate data streams. Lekha, an ACM and IEEE member, has organized sessions at prestigious venues such as KDD and AGU and also has been involved in synergistic efforts such as reviewing for high-impact journals including Journal of Computational Science, IEEE Geoscience and Remote Sensing Letters, Information Sciences, Journal of Hydrology and Frontiers in Earth Science. She has a Ph.D. in Computational Sciences from SUNY University at Buffalo (UB). She received her Bachelors in Mathematics from the Indian Statistical Institute in 2014 and her two Masters degrees in Biostatistics-Bioinformatics (2015) and Civil Engineering (Transportation Statistics) (2017) from UB. Her dissertation focused on anomaly detection in evolving data, open-set classification, probabilistic algorithms, and non-parametric mixture models.