Why did you join the DeepLearning.AI community as an event ambassador?
I have always been active in organizing research seminars and events in my local setting, but I wanted to extend these activities to a global audience to achieve more diversity. Pie & AI events in a hybrid setting (local + virtual) seemed like the perfect way to do so.
What do you do when you are not hosting events with DeepLearning.AI?
I am a researcher at a diabetes center integrated with a local hospital and university in Aarhus, Denmark. As an applied mathematician with 10 years experience in diabetes epidemiology research, my aim is to bridge the gap between the technical and clinical sciences by disseminating knowledge across disciplines. I believe that this interdisciplinary approach can lead to the creation of more patient-centered deep learning applications in healthcare.
Describe a few highlights from your event ambassador experience.
I have hosted 5 events (1 online only, 4 hybrid) since January 2022. The most successful event was on synthetic data for health research. It included 3 virtual talks by international experts and had almost 700 registrants. The virtual format helps me to attract a broad international audience, but I also find it important to build the local community. Pies and coffee are served at the events for the local audience 😉
What have you learned/gained since joining the DeepLearning.AI community?
The five events I hosted have collectively reached about a 1000 registrants, which was way above my expectations. Pie & AI has definitely helped me with reaching a broader international audience, especially beyond academia. It’s been great and very motivating to see the wide spectrum of people being interested in the events from clinical researchers. Many attendees are just getting to know deep learning, while some are data scientists working in the industry, and some are university professors.