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
Integrating high-content screening and ligand-target prediction to identify mechanism of action.
Nature chemical biology
(2007)
4
59
(doi: 10.1038/nchembio.2007.53)
Chemogenomic data analysis: prediction of small-molecule targets and the advent of biological fingerprint.
Combinatorial Chemistry & High Throughput Screening
(2007)
10
719
(doi: 10.2174/138620707782507313)
A large descriptor set and a probabilistic kernel-based classifier significantly improve druglikeness classification
Journal of chemical information and modeling
(2007)
47
1776
(doi: 10.1021/ci700107y)
Side effect profile prediction: Computational tackling of big pharma's worst nightmare at an early stage
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2007)
234
"Phylochemical Tree" for drug targets: Putting biological activities into context via ligand-based similarity measures
ABSTR PAP AM CHEM S
(2007)
234
COMP 495-Tautomers, conformers, and computation of chemical similarity
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2007)
234
Prediction of small molecule targets based on protein domains: Extrapolation into unknown target space
ABSTR PAP AM CHEM S
(2007)
234
COMP 158-Automated combinatorial alignment for 3-D similarity searching
ABSTR PAP AM CHEM S
(2007)
234
Understanding false positives in reporter gene assays: In silico chemogenomics approaches to prioritize cell-based HTS data
Journal of chemical information and modeling
(2007)
47
1319
(doi: 10.1021/ci6005504)
Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and OffâTarget Effects from Chemical Structure
ChemMedChem
(2007)
2
861
(doi: 10.1002/cmdc.200700026)
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