student
LMU, Germany
Andrea Kopp has been interested in the life sciences since they studied chemistry and biochemistry at the Ludwigs-Maximilians-Universität (LMU) in Munich in 2016. Later, they joined the computer science program at LMU, where they recently finished their Bachelor of Science. In a joint project with Helmholtz Munich and LMU, Andrea compared the performance of different models within the Kaggle challenge: "1st EUOS/SLAS Joint Challenge: Compound Solubility", and developed the winning model. At the SLAS Europe 2023, they present their contribution to the challenge. Currently, Andrea is at the pharmacy department of LMU with a focus on finding novel potent drug candidates with a generative recurrent neural network.
Winning model: OCHEM-generated consensus model
Thursday, May 25, 2023
15:00 – 15:30 CET
Thursday, May 25, 2023
15:30 – 15:50 CET