CGL applies bioinformatics and machine learning to tackle pressing challenges in disease biology.
Our research focuses on understanding the genomics of communicable and non-communicable diseases, with a particular emphasis on treatment resistance and disease progression. By developing efficient computational methods, we aim to transform global health, with a focus on diseases prevalent in low- and middle-income countries like Nepal.
Technical Focus
CGL focuses on the application of Machine Learning in Genetics and Human Diseases.
Key research includes:
- Investigating drug resistance and vaccine targets
- Genomics of communicable diseases, such as Dengue, TB
- Genomics of non-communicable diseases such as Cancer, Diabetes
Team
Research Scientist
Research Assistant
Research Interns
Research Interns: Himanshu Bhandary, Dr. Saramshika Dhakal
External collaborators:
- Dr. Hitesh Bhattarai (Kathmandu University, Nepal)
- Prajjwal Rajbhandary, Suvechhya Bastola (RIBB, Nepal)
- Dr. Anurag Adhikari (KRIBS, Nepal)
- Dr. Dipali Singh (Quadram Institute, UK)
Trainees in external collaborating labs:
- Durga Karki (RIBB)
- Daisy Awale, Monika Chaudhary (KRIBS)
- Aryan Pyakurel, Ghanashyam Parajuli (Kathmandu University)