Shikha K. Singh

WORK HISTORY

EDUCATION

ABOUT SHIKHA K. SINGH

As a computational biologist with a passion for interdisciplinary research, I specialize in applying advanced computational methods to unravel complex biological systems. My expertise spans molecular docking, graph-based modeling, and probabilistic analysis, with hands-on experience in both academic and high-performance computing environments.I have developed and applied virtual screening pipelines using AutoDock Vina, innovated scoring function predictions through graph theory, and contributed to probabilistic modeling of biological processes at IBAB. Currently, I focus on Statistical Shape Modeling (SSM), leveraging geometric and probabilistic techniques to analyze intensity variation. My work involves building 3D shape models, applying Gaussian processes, and utilizing non-rigid registration methods to uncover morphometric differences in biological structures.Technically proficient in Python, C, and bioinformatics pipelines, I am adept at handling mesh data, working in Linux/HPC environments, and using tools like Scalismo. My goal is to bridge computational methodologies with real-world biological challenges, driving insights that can advance research and healthcare.I am always open to connecting with fellow researchers, industry professionals, and organizations interested in computational biology, morphometrics, or biomedical data analysis. Let’s connect to explore collaboration or discuss how computational methods can transform biological research.