Talk
Registration required!
October 13, 2021
1:00 pm
1:45 pm
(CET)

Geometric deep learning for drug discovery

Powered by
No items found.

About the session

Targeted protein degradation has been one of the merging technologies to solve uncurable diseases like Alzheimers, Huntingtons etc. The problem is that the process of this biotechnology in labs is very long and expensive. Automating this insilico (with computers) and machine learning is a challenge we at Celeris Therapeutics are tackling. Doing research in chemistry, biology and machine learning is how we are solving this problem. Our main component is the emerging field of ML called geometric deep learning. Graphs are native way to represent atom and molekular interactions, but given that the space of possible compounds is huge this becomes a big engineering problem. And thats what we are trying to unite at Celeris, biotechnology, engineering and machine learning.

About the speaker

Noah Weber
Noah Weber
CTO at Celeris Therapeutics

Watch recording

Registration required!

Save your spot

13 Oct
,
1:00 pm
1:45 pm
(CET)
Save my spotSave my spotSave my spotSave my spot
Code of Conduct
WeAreDevelopers welcomes everyone and is dedicated to defending anybody from harassment, regardless of gender, gender identity, and expression, sexual orientation, disability, physical appearance, body size, race, age or religion.
Read more
Diversity & Inclusion
At the WeAreDevelopers Events we empower underrepresented groups by giving them the stage to share their knowledge and experiences. It is crucial for our international events to bring together the perspectives of people with different backgrounds.
Read more