Konstantia Georgouli

Research Interests

Konstantia Georgouli is a computational scientist in the Biosciences & Biotechnology Division’s Biochemical and Biophysical Systems Group. She joined LLNL in 2020 as a postdoctoral researcher and transitioned to a staff position in 2023. Konstantia earned her Bachelor of Science in Computer Science from the International Hellenic University, Greece (formerly Technological Educational Institute of Serres), and a Master of Science in Computer Science from the University of Thessaly, Greece. She received her Ph.D. in Biological Sciences from the Queen's University Belfast, Northern Ireland, UK, in 2018 where she investigated and developed novel chemometric methods for vibrational spectroscopic data in the field of food authenticity as well as introduced new advances in the field of pattern recognition applied to food science problems.

As a postdoc at LLNL, Konstantia was involved in the High-performance Parallel Simulations for Whole-cell Modeling Project, where she contributed to the development and implementation of a general-purpose, high-performance, multi-scale, parallel simulation framework. She also played a key role in designing and implementing a novel machine learning-based capability aimed at generating protein structures, with the ultimate goal of accelerating scientific discovery by aiding in the identification of transition pathways.

Her current research focuses on developing new deep learning techniques to understand the molecular mechanisms underlying signaling pathways of biological processes.