Spatio-Temporal modelling of Malaria
BEST POSTER MLSS-2019.
cv-summary
Education
- BSc. Physics (Major: Electronics), Kwame Nkrumah University of Science and Techonology, 2013 - 2017
- MSc. Machine Intelligence, African Masters in Machine Intelligence, 2018-2019
Teaching and Research Experience
- 2019/ 2020 Tutor - African Masters in Machine Intelligence
- Courses:
- Statistical Machine Learning
- Regression
- Natural Language Processsing
- Kernel Methods
- Courses:
- 2017/ 2018 Academic year: Teaching and Research Assistant
- Kwame Nkrumah University of Science and Techonology
- Courses:
- Programming with C++
- Introductory Electronics
- Experimental Physics
- Supervisors: Akyana Britwum (PhD), Kofi Ampong (PhD)
- Fall 2019: Research Intern
- Vector Institute for Aritificial Intelligence
- Project: Graph-based approach in healthcare medical recommendations
- Supervisor: Marzyeh Ghassemi
Skills
- Research
- Programming
- Python
- C++
- Java
- Deep Learning Libraries
- PyTorch
- Tensorflow
Projects
Bilateral Trade Modelling with Graph Neural Networks
Kobby Panford-Quainoo, Avishek Joey Bose & Michael Defferrard (2020)
Talks
Some Challenges in Healthcare Representation Learning and Proposed Approaches
Talk at Google AI, Toronto, Canada
Graph Representation Learning and some Applications
Talk at AIMS-AMMI, Kigali, Rwanda