PaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning
- Jannis Born
- Matteo Manica
- et al.
- 2019
- NeurIPS 2019
Bio
Jannis is a research scientist at IBM Research in Zurich, Switzerland. His current research interests are on AI4Science, Language Models and Quantum Machine Learning. Jannis obtained his PhD from ETH Zurich (D-BSSE) in 2022, for his work on language models for molecular design performed at IBM Research. His PhD was advised by Matteo Manica (IBM), Prof. Karsten Borgwardt (ETH) and Prof. Alan Aspuru Guzik. Before that he completed a M.Sc. at ETH/UZH Zurich (with distinction) in Neural Systems & Computation in 2019 and a B.Sc. in Cognitive Science. He has received the FXH Scientific Excellence Award in 2019 and studied and researched in Germany, England, Singapore and Switzerland.
Publications
PaccMann: Prediction of anticancer compound sensitivity with multi-modal attention-based neural networks
- Ali Kazemi Oskooei
- Jannis Born
- et al.
- 2018
- NeurIPS 2018
Projects
AI for Scientific Discovery
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Lab that Learns
Leveraging AI foundation models and multi-cloud computing to usher in a new era of reproducible and collaborative experimentation for scientific discovery.
Blog posts
Neural networks take TITAN-sized step toward T cell specificity prediction
ResearchAnna Weber, Jannis Born, and María Rodríguez Martínez5 minute read
Top collaborators
MM
Matteo Manica
Senior Research Scientist
TL
Teodoro Laino
Distinguished RSM, Manager
FT
Francesco Tacchino
Research Staff Member
CB
Carlo Baldassari
RoboRXN Lab Chemist