Computer Vision News Computer Vision News 16 Women in Computer Vision That’s brave. Any bird that quits its nest is brave. Right. Even if it has had its challenges, I don’t regret it at all because I firmly believe that I would not be the same person today if I had made the choice of staying close to home. Even if I’m now back at home today, I’m just happy that I had a whole decade in early adulthood to get out of my shell. I’m confident I would not be the same person today as I am. What was special in your years with Anne Carpenter at Broad? The place itself is special. The application itself is pretty cool. We get to really work with the science and use our knowledge. What was special for that particular position for me was that I was part of a lab. With me, there was only one software engineer, but the rest of us were postdoc people and research people. It’s kind of like in between. I love research, but my objective was actually more development-based. It was to develop the tools for the researchers. It was the first time I was this close to biology. I’ve learned a lot during my time there, and every time still today that I see a recent news advancement that’s at the boundary of biology and machine learning, I’m happy I was part of that for a second. The Institute is often in the news for good reasons. It is good to know that it is still doing great things. How did you choose them? I saw them, and I guess they chose me. They believed in me. I guess it was mutual. [laughs] It was. Let’s go back further. When did you decide you wanted to be in this area of transforming reality into algorithms? I don’t really know how I landed in this area today. I was always into science in general. I was always into the scientific path. When I started university, I wanted to study physics, then I discovered image processing
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