MICCAI 2022 Daily – Monday

“ We don’t place the electrode if it doesn’t improve the final result, ” Ashley adds. “ When you start getting higher ρ and λ values, or when you get too high in the number of electrodes, each electrode might not add as much to the next iteration. Therefore, we considered a small upper value to ensure we were still increasing our results; otherwise, that electrode was not helpful. ” Before settling on the greedy approach, Ashley and Michael went through several other options. They started exploring biological methods, including particle swarm optimization , which looked promising. “ We spent a lot of time on that, but there was no guarantee that the minimum we found was optimal, and it took way too long for something that wasn’t even a fully optimal solution, ” Ashley recalls. “ When that didn’t give us the results we wanted, it was rough, but it helped us re-evaluate and find a better solution. ” Outside of this project, Michael’s lab works on how retinal and cortical implants produce artificial vision, using insights from neuroscience and methods from computer vision and AI . Meanwhile, Ashley just accepted a job at Veeva , working on software engineering for the life sciences. “ It’s really cool because I did my undergrad in biology and graduated in computer science, ” she says. “ When choosing a lab to work in, I was drawn to Michael’s because it was a mix of that bio and computer science world. I’m happy to continue my passion for merging the life sciences with computer science and hopefully building a better future. ” Where does she see herself in five or ten years? “ It’s hard to say because I used to think so far ahead, but now I like to figure out what I enjoy and continue doing that. If I’m no longer enjoying it, I’ll make some changes, but currently, I like what I’m doing. ” 18 DAILY MICCAI Monday Poster Presentation