Victorine Maikem

Hello, My name is

Digital Health Systems Builder | AI in Healthcare | Health Informatics

I build data-driven and AI-enabled health systems that work in the real world — across public health, clinical care, and research.

My work sits at the intersection of health informatics, data engineering, and machine learning, where technical decisions shape policy, workflows, and outcomes.

View My Work

I build data-driven and AI-enabled health systems that work in the real world — across public health, clinical care, and research.

My work sits at the intersection of health informatics, data engineering, and machine learning, where technical decisions shape policy, workflows, and outcomes.

About Me

Building digital health systems that solve real problems.

I am a health informatics professional with a strong technical background, focused on how data, technology, and people come together within real health systems.

My work sits at the intersection of health informatics, data engineering, and applied AI. I'm interested not only in what technology can do, but in how it is designed, governed, and used in practice — particularly in public health, research, and clinical contexts where decisions carry real consequences.

Through experiences across academic institutions, public health organisations, and applied research initiatives, I've worked on digital health platforms, data pipelines, and AI-enabled tools that support decision-making at scale. These experiences have shaped how I approach my work: starting with system needs, understanding context and constraints, and building solutions that are responsible, usable, and sustainable.

Across everything I do, I'm motivated by a simple principle, that technology should strengthen trust, not complicate it. My goal is to help health systems make better decisions by designing technology that respects context, people, and purpose. Whether working with data, AI, or systems, I help to build solutions that are thoughtful, ethical, and usable.

Services

WHAT I DO

01

Digital Health & Health Informatics Systems

I design and evaluate digital health systems that support clinical care, public health, and research workflows. My work emphasizes interoperability, data governance, and usability — ensuring that technology aligns with real-world health system needs.

02

Health Data Engineering & Analytics

I work with complex, multi-source health datasets, building ETL pipelines, harmonizing data, and developing analytical dashboards that support evidence-based decision-making.

03

Applied AI & Machine Learning in Healthcare

I apply machine learning to health and public health problems where prediction, prioritization, or pattern recognition can meaningfully support decisions — with careful attention to model validity, ethics, and deployment context.

04

Research & Knowledge Translation

I support applied health and AI research by developing data platforms, analytical tools, and visual outputs that bridge technical, clinical, and policy audiences.

05

Leadership & Program Coordination

I contribute to and lead initiatives that build capacity in digital health and AI, coordinating stakeholders, mentoring emerging talent, and supporting program delivery in academic and public health settings.

qualification

My journey

Education

September, 2024 – June, 2026

Master of Health Informatics- MHI

University of Toronto — Dalla Lana School of Public Health

Graduate training focused on the design, evaluation, and governance of digital health systems. Coursework and applied projects emphasize health data analytics, health information systems, AI in healthcare, decision support, and health systems integration.
January, 2021 – June, 2024

Bachelor of Science (Honours)- First Class

African Leadership University

Strong technical foundation in software engineering, data structures, machine learning, and systems development, complemented by leadership training and applied, project-based learning.
Professional Certifications

Professional Certifications & Training
1. Google & Kaggle Generative AI Intensive Course (2025)
2. Data Science in Precision Medicine (2025)
3. Fundamentals of Data-Driven Precision Medicine for Diabetes (2025)
4. HL7 FHIR Certification (2025)
5. Full Stack Development Nanodegree (2022)
6. Data Science & Machine Learning Bootcamp (2022)

Experience

Nov 2025 – Present

University of Toronto — Dalla Lana School of Public Health - AI4PH Internship Lead

Supporting the coordination and delivery of applied AI for Public Health internships that connect students with partner organisations across academia, healthcare, and public health.
May 2025 – Aug 2025

Africa Centres for Disease Control and Prevention (Africa CDC) - Health Data Science Intern

Worked within the Science & Innovation Directorate to support data-driven decision-making across research prioritisation and outbreak preparedness initiatives.
Jan 2025 – Dec 2025

Digital Health Canada — AI in Action - Volunteer Research Collaborator

Contributed to a national collaborative initiative examining the real-world adoption of AI in clinical care across Canada.
Jun 2023 – Dec 2023

Vanguard Economics Ltd. - Database Developer Intern

Supported backend system development and database optimisation for organisational data platforms.
Jun 2021 – Present

Freelance - Web & Software Developer

Alongside academic and institutional roles, worked independently on digital platforms for small organisations and businesses.

SELECTED WORK

Systems & Initiatives

ALL
AI HEALTHCARE
DATA ENGINEERING
DIGITAL HEALTH
RESEARCH
WEB DEVELOPMENT

AI HealthcareResearch

Counterfeit Drug Detection System

Data EngineeringDigital Health

Health Data Analytics Dashboard

AI HealthcareResearch

AI for Public Health Outbreak Preparedness

AI HealthcareDigital Health

Clinical Decision Support System

Digital HealthWeb Development

Healthcare Provider Portal

Data EngineeringResearch

Research Data Platform