We are very happy to announce that the "Machine Learning in Healthcare Berlin" Meetup is back from its pandemic break!
The QUEST Centre for Responsible Research at the Berlin Institute of Health (BIH) will now sponsor the new Meetups, which will take place in the same BIH conference room "Atrium" as before on the 5th floor of the Spreepalais at Anna-Louisa-Karsch-Straße 2, 10178 Berlin.
The QUEST Centre focuses on improving biomedical research, especially in the areas of robustness and transparency, with the ultimate goal of improving translation into the clinical domain. Therefore, the Meetup will continue to showcase relevant research and cool startups in the field of machine learning in healthcare, but we will also ensure the focus on translation.
Due to COVID constraints, the meetup will likely be slightly smaller than in the past until those regulations are lifted. However, we are very happy to be back and we look forward to seeing you at our future meetings, where there will still be time for technical discussions, Q&A, networking and the classic "pizza and beer". From now on, we also welcome all researchers, developers and scientists in the field of machine learning, whether they are actively working on a ML in healthcare or just interested in the field, to join our Meetups!
Bevorstehende Events (1)Alles ansehen
- 20th Machine Learning in Healthcare meetup - sponsored by QUESTBerlin Institute of Health (BIH), Berlin
We are delighted to invite you to our next meetup!
This time we'll welcome Paula Andrea Marin Zapata.
Paula´s role is a research scientist at Bayer Pharmaceuticals in Berlin, where she leads a team focused on machine learning for cellular profiling applications. She obtained a PhD in biology from the German Cancer Research Center DKFZ, a MSc in Applied Mathematics from Eindhoven University, and a BSc in Biological Engineering from the National University of Colombia.
Her talk is titled
"Self-supervised learning applications in drug and herbicide discovery"
A common approach in drug and herbicide discovery consists of testing thousands of chemicals with the help of robotic systems. These large datasets are particularly suitable for training data-greedy deep learning models. However, as many projects are explorative in nature, they lack labels and often require self-supervised learning (SSL) techniques. This talk will show examples of how we leverage SSL methods to accelerate drug and herbicide research at Bayer AG, with focus on computer vision applications.
We are excited about this topic!
We will meet - as usually - in the “Atrium” conference room of the BIH, 5th floor of the Spreepalais, Anna-Louisa-Karsch-Straße 2, 10178 Berlin. Please enter the lobby, find the elevator group at Aufgang A and get out on the 5th floor. The entrance to the meeting room is labeled.
We will of course provide the classic "Pizza and Beer"!
Please, if your RSVP-ed but realize that you can´t join please make sure to make your spot available for someone else!
Be aware that sometimes only one of the 4 elevators works!
The venue and food/drinks are kindly provided by the QUEST Center
Doors will be open at 6:30 pm, we will begin at 7 pm sharp.
7 pm: Introduction by the hosts.
7:05 pm: talk Paula
8 pm: time for networking, talking, eating even more Pizza, having fun
End 9:30 pm.