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
Analysis of pharmacology data and the prediction of adverse drug reactions and off-target effects from chemical structure
Chemmedchem
(2007)
2
861
(doi: 10.1002/cmdc.200700026)
"Plate cherry picking": a novel semi-sequential screening paradigm for cheaper, faster, information-rich compound selection.
SLAS Discovery
(2007)
12
320
(doi: 10.1177/1087057107299427)
Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds.
Journal of Computer-Aided Molecular Design
(2007)
21
269
(doi: 10.1007/s10822-007-9113-3)
Flexible 3D pharmacophores as descriptors of dynamic biological space
Journal of molecular graphics & modelling
(2007)
26
622
(doi: 10.1016/j.jmgm.2007.02.005)
Evolved cellular automata for protein secondary structure prediction imitate the determinants for folding observed in nature.
In silico biology
(2007)
7
87
(doi: 10.3233/isb-00277)
In silico target fishing: Predicting biological targets from chemical structure
Drug Discovery Today Technologies
(2006)
3
413
(doi: 10.1016/j.ddtec.2006.12.008)
Chapter 9 Molecular Similarity: Advances in Methods, Applications and Validations in Virtual Screening and QSAR.
Annu Rep Comput Chem
(2006)
2
141
Bridging Chemical and Biological Space: “Target Fishing” Using 2D and 3D Molecular Descriptors
Journal of Medicinal Chemistry
(2006)
49
6802
(doi: 10.1021/jm060902w)
Melting Point Prediction Employing k-Nearest Neighbor Algorithms and Genetic Parameter Optimization
J Chem Inf Model
(2006)
46
2412
(doi: 10.1021/ci060149f)
Chemoinformatics-based classification of prohibited substances employed for doping in sport
Journal of chemical information and modeling
(2006)
46
2369
(doi: 10.1021/ci0601160)
- ‹ previous
- Page 38
