Vascular Pathophysiology & Clinical Hemostasis

Sepsis, DIC, Thrombosis, Embolic Complications, and Vascular Pathophysiology.

General Research Overview: My research in this area explores the complex intersection of systemic infection, inflammatory responses, and vascular outcomes. As a lead researcher in several of these studies, I focus on translating molecular insights into clinically actionable models that improve patient stratification and therapeutic decision-making in critical care settings.

Core Areas of Impact:

Sepsis-Induced DIC: I have conducted extensive reviews and original analyses on the molecular mechanisms of Sepsis-Induced Disseminated Intravascular Coagulation (DIC), focusing on identifying emerging therapeutic targets to manage life-threatening coagulopathies.
Embolic Risk Prediction: My work with contemporary cohorts of Infective Endocarditis (IE) has focused on the validation of diagnostic scoring models to predict embolic events, bridging the gap between clinical observation and precision medicine.
Genetic Thrombophilia: Utilizing advanced bioinformatic pipelines and structural biology, I investigate the pathogenicity of rare Endothelial Protein C Receptor (EPCR) missense variants to better understand genetic predispositions to thrombosis and thrombophilia.
Computational Vascular Medicine: I integrate machine learning architectures to identify antihypertensive peptides, demonstrating a multi-disciplinary approach to cardiovascular health.

Technical Expertise:

Clinical Hemostasis: In-depth analysis of the coagulation cascade and embolic pathophysiology.
Computational Modeling: Application of Molecular Dynamics (GROMACS) and AI-driven predictive modeling for vascular risk.
Statistical Validation: Development and testing of clinical scoring systems for patient outcome prediction.