Hello again! I’m Anne
I’m a Product Designer with a background in video and motion design, now specializing in creating digital experiences that are clear, intuitive, and human-centered. After earning my Master of Information (UX Design) at the University of Toronto, I’ve worked with leading Canadian financial institutions like RBC and CIBC, as well as startups and nonprofits, designing solutions that balance usability with business goals.
Curiosity drives me - I’m forever learning, exploring, and trying to understand the “why” behind the problem. I’m unafraid to ask questions, and believe that having a diverse and empathic understanding of a problem is the key to reaching innovative and impactful solutions.
Through my rich experience in filmmaking, I understand the value of storytelling in the design process, which helps me continue to advocate for the user.
I strive to design experiences that are not only functional, but are easy and exciting to use, empower users, and are accessible to everyone.
When I’m not designing you might find me:
Salsa dancing in Toronto's latin dance scene
Learning Spanish
Playing Settlers of Catan
Learning cool new Webflow techniques
Listening to way too many podcasts
Working on a crafty DIY project
The values
behind my work
Courage
I take initiative, explore new ideas, and make decisions even when the path isn’t clear.
Honesty
I communicate openly, give feedback, and focus on what truly matters for the outcome.
Adaptability
I stay flexible, learn quickly, and adjust to challenges without losing direction or focus.
Teamwork
I love collaborating, ownership, and believe the best results come from teamwork.
What is bioacoustics monitoring?
Bioacoustic monitoring identifies which species live in an ecosystem by analyzing the sounds they make, rather than relying on sightings. It matters because most wildlife is hard to observe directly, while sound offers a way to track biodiversity continuously and at scale.
1
Record
Audio recorders are deployed in reserves around the world, capturing sound continuously for weeks or months.
2
Analyze
The recordings are processed by species-recognition AI models trained to identify calls in the audio.
3
Output
The result is a record of which species were detected, and when and where - data that can then be visualized, reported, or acted on however a given project needs.