
Currently also: Chief Informatics and Technology Officer (CITO) at Pangea Botanica, London/UK and Berlin/Germany
Previous positions:
Director Digital Chemistry at NUVISAN Berlin
Associate Director Computational ADME and Safety (Clinical Pharmacology & Safety Sciences/Data Science and Artificial Intelligence - CPSS/DSAI) at AstraZeneca Cambridge
Co-founder of Healx Ltd.
Co-founder of PharmEnable Ltd.
- Committed to developing new life science data analysis methods (AI/ML/data science) and their application, primarily related to chemical biology, drug discovery and in silico toxicology
- Expertise comprises data ranging from chemical structure and gene expression data to phenotypic readouts and preclinical information, applied to both efficacy- and safety/tox-related questions
- Collaborating with academic research groups, as well as pharmaceutical, chemical, and consumer goods companies (Eli Lilly, AstraZeneca, GSK, BASF, Johnson&Johnson/Janssen, Unilever, ...)
- Co-founder/founding CTO and current SAB member of Healx Ltd. (data-driven drug repurposing for rare diseases, and beyond); co-founder of PharmEnable Ltd.; SAB member of Lhasa Ltd. (toxicology and metabolism prediction) and Cresset Ltd.
- Coordinator of the Computational & In Silico Toxicology Specialty Section of the British Toxicology Society (BTS)
- Steering Committee Member of the Cambridge Alliance on Medicines Safety (CAMS)
- Currently leading a group of ca. 15 PhD students, postdocs, project students and visitors at the Centre for Molecular Informatics at the University of Cambridge, https://www-cmi.ch.cam.ac.uk/centre-molecular-informatics
Publications
Synthesis and Inhibitory Assessment of ACE2 Inhibitors for SARS-CoV-2: An In Silico and In Vitro Study
The Journal of Organic Chemistry
(2025)
acs.joc.5c00918
(doi: 10.1021/acs.joc.5c00918)
Identification of nanomolar adenosine A<sub>2A</sub> receptor ligands using reinforcement learning and structure-based drug design.
Nature Communications
(2025)
16
5485
(doi: 10.1038/s41467-025-60629-0)
Machine Learning for Toxicity Prediction Using Chemical Structures: Pillars for Success in the Real World.
Chemical research in toxicology
(2025)
38
759
Fragment Screening Reveals Novel Scaffolds against Sirtuin-2-Related Protein 1 from Trypanosoma brucei
ACS omega
(2024)
10
3808
(doi: 10.1021/acsomega.4c09231)
Author Correction: Cell Painting: a decade of discovery and innovation in cellular imaging.
Nat Methods
(2024)
22
447
(doi: 10.1038/s41592-024-02578-y)
Cell Painting: a decade of discovery and innovation in cellular imaging
Nature Methods
(2024)
22
254
(doi: 10.1038/s41592-024-02528-8)
An Open-Source Implementation of the Scaffold Identification and Naming System (SCINS) and Example Applications.
Journal of Chemical Information and Modeling
(2024)
64
7905
(doi: 10.1021/acs.jcim.4c01314)
Prediction of Inhibitory Activity Against the MATE1 Transporter via Combined Fingerprint- and Physics-Based Machine Learning Models
Journal of Chemical Information and Modeling
(2024)
64
7068
(doi: 10.1021/acs.jcim.4c00921)
Improved Detection of Drug-Induced Liver Injury by Integrating Predicted In Vivo and In Vitro Data
Chem Res Toxicol
(2024)
37
1290
Step Forward Cross Validation for Bioactivity Prediction: Out of Distribution Validation in Drug Discovery.
(2024)
(doi: 10.1101/2024.07.02.601740)
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