I am a Computer Vision specialist with a PhD and over a decade of experience across academic research and industrial innovation.

I’ve led applied AI projects and teams in industry, developed cutting-edge algorithms, and worked closely with cross-functional collaborators.

Alongside my research work, teaching has always been at the heart of what I do. Whether in formal settings or through mentoring, I’m driven by the belief that technical knowledge becomes powerful when it’s made accessible.

Today, I bring together research and practice to help others grow in AI. Through consulting, education, and storytelling, I aim to make advanced technologies more human-centered, more accessible, and more effective.

VeraDP - AI & Computer Vision Consulting - signature logo - signature
Vera Damerjian Pieters

How I can support you

Courses & Workshops

I design and teach high-quality, hands-on programs in AI and computer vision. I adapt the content to varying levels of expertise and academic or professional contexts.

Whether you are a school, a company, or an individual, I help demystify complex topics and make them relevant, engaging, and directly applicable.

Consulting

From concept to prototype, I help teams and organizations turn ideas into actionable solutions. 

Whether you are exploring the potential of computer vision or scaling an existing system, I offer research-grade expertise and industry insight. My services range from audits and diagnostics to strategy, prototyping, and mentoring.


Why work with me

  • PhD-level expertise in Computer Vision, with 10+ years in research and applied AI
  • Proven track record leading AI projects and collaborating across disciplines
  • Experienced educator: from universities to professional training
  • Bilingual delivery (English/French) customized for both technical and non-technical audiences
  • Focus on real-world impact: bridging innovation with practical solutions

Trusted by


In their own words…

Vera explains complex concepts with clarity and enthusiasm. Her classes are well-structured, interactive, and perfectly balanced between theory and hands-on practice. She’s patient, approachable, and provides valuable career insights — an inspiring and highly effective teacher.

DSTI Student Feedback Survey, Artificial Neural Networks course


Latest blog posts

Check the blog page for insights and resources.

Dice Coefficient vs. IoU in Medical Image Segmentation

Dice Coefficient and Intersection over Union (IoU) are widely used to evaluate medical image segmentation. Both measure overlap between prediction and ground truth but behave differently. This post explains their differences, strengths, and offers guidance on choosing the right metric.
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What’s the Real Difference between Image Processing, Analysis, and Computer Vision?

Terms like image processing, image analysis, and computer vision are often used interchangeably, but do they really mean the same thing?
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