Daudi Jjingo
Makerere University, Makerere University Infectious Diseases Institute, Georgia Institute of Technology School of Biological Sciences
0000-0003-1685-9234
About
Daudi serves as the Director of the African Center of Excellence in Bioinformatics and Data-Intensive Sciences (ACE), whose mandate involves providing cutting-edge computational platforms (hardware, software and research expertise) for biomedical research. As a Principal Investigator of various research and training grants that apply bioinformatics, data science and Large Language Models (LLMs), his research interests cut across human genomics, cancer genomics and anti-microbial drug resistance. He is a Senior Lecturer in the Department of Computer Science at Makerere University and earned his Ph.D. in bioinformatics as a Fulbright Scholar at the Georgia Institute of Technology in Atlanta USA, preceded by an MSc in bioinformatics and computational biology from the University of Leeds, UK, and a BSc in biochemistry from Makerere University, Uganda. He previously served as a bioinformatics consultant for the U.S. Centers for Disease Control (CDC) in Atlanta.
Employment
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Makerere University Senior Lecturer2006 - Present
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Makerere University Infectious Diseases Institute
Education
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Georgia Institute of Technology School of Biological Sciences PhD Bioinformatics2008 - 2013
Projects & Funding
Projects & funding information is unavailable.
Publications (42)
- A Bi-lingual chatbot implementation for pandemic response using the transformer-based approach Save
- Pathways, outputs and impact of NIH-supported bioinformatics and genomics graduate trainees in Africa Save
- In Silico Identification of Antiviral Peptides as Potential Leads Against Sudan Ebolavirus VP‐40 Save
- Early insights into viability of Ebola monoclonal antibodies for the 2026 Bundibugyo virus disease outbreak Save
- There is urgent need for a Global Data Resource for Antimicrobial PK/PD: CAMO-Net GDR Initiative Save
- Prospects for personalized cancer treatment in the era of single-cell sequencing Save
- PII Detection in Low-Resource Languages Using Explainable Deep Learning Techniques Save
- Prompt Engineering in Large Language Models Save
- Explainable Deep Learning Approaches to Defective Tire Detection Save
- Responsible Software Systems for Disease Diagnostics Using Symptom Text Save