Computer Vision News - April 2019

machine learning for computer aided diagnosis and interventions. A lot of the focus is on cancer diagnosis as well as guidance of needles for biopsy in cancers. What about your students? All of the work, in fact, is done by students, post-doctoral fellows, researchers, both undergraduate and graduate. All of the success is attributed to the contribution of these people. I could never do what I do in isolation. My work requires a lot of hands-on, in the clinic data collection, working with hardware, building software, as well as algorithm design. For this, you need a community to work with you and support you to help make everything a success. What is the main quality that you admire in your students? I would say that there are many qualities. Everyone is so different and every student has their own qualities that I admire. I was just writing, before speaking to you, a few paragraphs about the training of students for my Dean. I was truly impressed by my students. Every single one has a scholarship. Every single one has done something that has won prizes in their very own different ways. I think the quality that I’m most proud of is how aware they are of the role they have to make a difference in the world. They are really keen to learn more. They are really keen to do something that makes a difference. I think that’s what really brings them to my lab and my work. They don’t want to just work on e.g., deep learning or hardware because it’s cool. They want to advance themselves, but they want to make a difference. I think that is what I really admire in them. What do you think that they admire about your lab? It would be very selfish to think that it is me that they admire. I think mostly it is the ability and the focus of the lab in actually doing interventions in clinic. Our health, our lives, and our mortality is something that we have dealt with as humans for thousands of years. We are always fascinated by this and the reason why we strive to make a difference in people’s lives and patient outcomes. I think the other thing is working with like-minded people. I feel that, in the lab, good students, students that are cooperative, excited, compassionate, and committed, bring in like-minded people. When I want to interview a student or if a student is interested to come in and work with us, usually I get them to speak with other students in the lab even if they don’t want to. I ask them to think about it because it gives them a good feel for who their colleagues and friends will be. That seems to work Pauline Luc 19 Computer Vision News Parvin Mousavi Women in Science “… you need a community to work with you and support you to help make everything a success!” photo: Dan Taylor/Heisenberg Media Photo: Dave Dove