Jannis Born

ETH Zurich — Switzerland

Computer Science · Physical Sciences

20h-index1.6kcitations74works2.52yr avg
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Research Topics

Computational Drug Discovery Methods(37), Machine Learning in Materials Science(19), Protein Structure and Dynamics(16), COVID-19 diagnosis using AI(12), Microbial Natural Products and Biosynthesis(11)

Publications74 total

A multiscale interpretability framework for identifying actionable road network features to mitigate congestion in highly congested cities
2026Open Access
Toward fully autonomous closed-loop molecular discovery – A case study on JAK targets
2026Open Access
COVID-BLUeS -- A Prospective Study on the Value of AI in Lung Ultrasound Analysis
arXiv (Cornell University)·2025Open Access
Property-driven localization and characterization in deep molecular representations
Scientific Reports·2025Open Access
Quantum Doubly Stochastic Transformers
arXiv (Cornell University)·2025· 1 citedOpen Access
Towards generalizable single-cell perturbation modeling via the Conditional Monge Gap
arXiv (Cornell University)·2025Open Access
We Need Improved Data Curation and Attribution in AI for Scientific Discovery
arXiv (Cornell University)·2025Open Access
COVID-BLUeS - a Prospective Study on the Value of AI in Lung Ultrasound Analysis
IEEE Journal of Biomedical and Health Informatics·2025· 4 cited
Multiscale Byte Language Models -- A Hierarchical Architecture for Causal Million-Length Sequence Modeling
arXiv (Cornell University)·2025Open Access
Modeling CAR Response at the Single-Cell Level Using Conditional Optimal Transport
2024Open Access
Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models
arXiv (Cornell University)·2024· 1 citedOpen Access
Growing strings in a chemical reaction space for searching retrosynthesis pathways
npj Computational Materials·2024· 6 citedOpen Access
Overcoming limitations in current measures of drug response may enable AI-driven precision oncology
npj Precision Oncology·2024· 14 citedOpen Access
Quantum Theory and Application of Contextual Optimal Transport
arXiv (Cornell University)·2024Open Access
Language Models in Molecular Discovery
2024· 11 cited
Overcoming limitations in current measures of drug response to enable AI-driven precision oncology
Research Square (Research Square)·2023Open Access
Language models in molecular discovery
arXiv (Cornell University)·2023· 5 citedOpen Access
Growing strings in a chemical reaction space for searching retrosynthesis pathways
2023Open Access
Author Correction: Artificial intelligence driven design of catalysts and materials for ring opening polymerization using a domain-specific language
Nature Communications·2023· 1 citedOpen Access
Towards quantum-enabled cell-centric therapeutics
arXiv (Cornell University)·2023· 9 citedOpen Access
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Frequent Co-authors

Matteo Manica(30), María Rodríguez Martínez(10), Teodoro Laino(7), Joris Cadow(6), Tim Erdmann(6), Nina Wiedemann(5), Greta Markert(5), Vijil Chenthamarakshan(5), Payel Das(5), Nil Adell Mill(5), Nikita Janakarajan(5), Nathaniel H. Park(5), James L. Hedrick(5), Dmitry Yu. Zubarev(5), Manuel Cossio(4), Charlotte Buhre(4), Ali Oskooei(4), Samuel C. Hoffman(4), Inkit Padhi(4), Pedro L. Arrechea(4)