I’m a scientist and science communicator who believes that good ideas should speak for themselves. I work at the intersection of algorithm design, data storytelling, and public outreach—and I’m passionate about creating tools and narratives that people can actually understand. My path has taken me through labs, podiums, design tools, and comics—and I wouldn’t have it any other way.
My work is deeply interdisciplinary—and so is my life. I believe that creativity, leadership, and empathy are just as important as technical skills in shaping better science.
If you can’t explain it, then you don’t understand it
Science should be “we define first” and not “we code first”
Let’s build spaces where diverse voices lead complex questions
The best ideas come when diverse disciplines ( and people ) meet
In an era where machine learning dominates everything, I think it's time to refocus on how we design knowledge—not just what we compute.
My work draws inspiration from visual storytelling, information design, and interdisciplinary questioning. I want algorithms that explain themselves, models that invite interpretation, and scientific practices that speak to people—not just machines.
Over the course of my PhD, I’ve collaborated with researchers across three continents, presented at conferences around the world, and published 10 peer-reviewed articles, 5 of them as first author.
This maps represent not just the places I’ve worked—but the network of people, ideas, and experiences that shape who I am.
peer-reviewed publications
international conferences
I’m always curious about new collaborations, unexpected intersections, and better ways to communicate science. Whether you're a researcher, a student, or just someone curious about algorithms and comics—let’s talk.