Bomgni, Alain

• Ph.D., Computer Science, University of Picardie Jules Verne

At Oglala Lakota College, I aim to leverage artificial intelligence (AI), machine learning (ML), and biomedical informatics to address pressing health challenges such as diabetes, kidney disease, heart disease, and liver disease. These chronic conditions, often interrelated, represent significant burdens on global healthcare systems and are particularly significant in the context of healthcare disparities affecting underserved populations, including reservation communities. My work seeks to enhance early detection, personalized treatment strategies, and drug discovery through advanced computational models. By integrating heterogeneous biomedical data and employing cutting-edge AI techniques, I aim to develop innovative solutions that improve patient outcomes and healthcare delivery.

Key areas of my research include:

1. AI-Driven Retrosynthesis: Utilizing graph neural networks to predict synthetic pathways for novel therapeutic agents targeting diabetes and related comorbidities such as kidney and heart diseases.

2. Drug Repositioning: Developing frameworks that identify new therapeutic applications for existing drugs, focusing on cardiovascular and renal complications associated with diabetes and liver dysfunction.

3. Predictive Healthcare Models: Creating ML-based  decision-support systems to aid healthcare professionals in the timely detection and management of conditions like stroke, a common complication of chronic diseases, with tailored treatment recommendations.