Ekaba Bisong
I build intelligent systems. My work runs from doctoral research in learning systems to AI products used in dozens of countries.
I am pursuing a PhD at the University of Victoria. My research covers learning systems and climate informatics. At the same time, I build and ship AI products through SiliconBlast.
My work runs from theory to production. I build learning algorithms, large language models, retrieval systems, and the MLOps that puts them in front of users.
Selected research
Global Kelp Forest Monitoring
My PhD thesis at the University of Victoria. An adaptive learning method picks the best detection model for each satellite tile of kelp coastline worldwide, with the British Columbia coast as the case study. Labels arrive late and rarely, and conditions change with seasons and climate. The method keeps learning from sparse feedback and beats a single fixed model as the kelp shifts.
LA + Byzantine Fault Tolerance
Learning automata that stay reliable when some nodes act maliciously. The work builds Byzantine detection and resistance into peer-to-peer content distribution, so the network keeps serving content under attack.
Ejagham Language Model
A language model for Ejagham, a low-resource Nigerian language. The goal is to preserve the language and give its speakers working text tools.
Products & consulting
Through SiliconBlast, I design and ship production AI. Three live products of my own, plus enterprise LLM, RAG, and MLOps engagements for teams in healthcare, finance, telecom, and retail.
SiliconBlast ↗Books & papers
Predicting high blood pressure using machine learning models in low- and middle-income countries
BMC Medical Informatics and Decision Making, 2024
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR
COLING 2020
On Utilizing Transitivity and Pursuit-Enhanced Object Partitioning to Optimize Self-Organizing Lists-on-Lists
Evolving Systems, 2021
Built to Last or Built Too Fast? Evaluating Prediction Models for Build Times
IEEE/ACM MSR 2017
Experience
- 2024–presentPhD, Computer ScienceUniversity of Victoria
Learning systems and climate informatics.
- 2019–presentFounder & Principal ConsultantSiliconBlast
AI consulting and product development. DayCanvas, Queravel, Qoobeau, and enterprise LLM, RAG, and MLOps engagements.
- 2020–2021Principal AI ArchitectLoblaw Companies
Led health data-science R&D and AI for a next-generation diagnostics device.
- 2019–2020Senior Consultant & Data Science LeadT4G
Scoped and led enterprise AI and ML engagements and data-science teams.
- 2017–2019Data Scientist / EngineerPythian
Predictive modelling, computer vision, and cloud data engineering for enterprise clients.
- 2016–2018M.Sc. Computer ScienceCarleton University
Reinforcement learning, learning automata, and adaptive data structures.
- 2009–2013B.Sc. Computer ScienceBabcock University
Artificial intelligence and decision support systems.