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, paying 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

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.

Experience

Nov 2025 – Feb 2026

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.
May 2023 – Dec 2023

Vanguard Economics Ltd. - Database Developer Intern

Supported backend system development, designed and built database, and database optimisation for organisational data platforms.
Feb 2020 – Feb 2026

Self Employed - Software Engineer

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

credentials

My Credentials

English

Native

French

Fluent

Google & Kaggle Generative AI Intensive Course

Kaggle

2025

Completed the 5-Day Gen AI Intensive Course. Run in 2024 and 2025. Participants attended daily seminars, studied white papers, completed daily assignments, and a capstone project about Generative AI.

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Stanford Data Science in Precision Medicine and Cloud Computing

Standford Online

2025

Applied training in precision medicine and cloud computing for healthcare applications.

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Diabetes in Precision Medicine

Standford Online

2025

Comprensive training on precision medicine and how it can be used in chronic disease treatment like Diabetes. From Genomics,to proteomics and metabolomics. Draw insights and visualize these omics data for efficient patient care.

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FHIR Fundamentals Course

HL7 international

2025

Detailed course on the HL7 standard, using fhir to share data, creating fhir packages and standardizing user data.

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🏆 Winner

Black AI Fellowship Hackerthon

Oct 2025 • Toronto

As part of the Youth AI Fellowship,my team and I designed,and pitched an AI solution,aimed at addressing Prenatal & Maternal Health Disparities in Black and Underserved Communities

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GenAI Genesis 2025

Jul 2025 • Toronto

Worked with my team to build Neural Navigator, an all-in-one, AI-powered productivity platform built specifically for people with ADHD. It tackles three key challenges and addresses them with targeted, integrated features.

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FHLIP Conference

Feb 2026 • Toronto, Canada

Topic: From Silos to Synergies

The FHLIP Conference is an annual convergence of healthcare leaders,builders and innovators,discussing pathways to creating suatainable,and impactful healthcare solutions.

🎤 Speaker

T-Cairem Conference 2025

Dec 2025 • Toronto

Topic: AI in Medicine

As part of the UofT's T-cairem AI in medicine conference, I was opportuned to present the findings from a research I contributed to, with the AI in action working group,that looked at the environmental scan of AI adoption within Canada.

No leadership activities added yet.