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
Improving the prediction of organism-level toxicity through integration of chemical, protein target and cytotoxicity qHTS data
Toxicology research
(2016)
5
883
(doi: 10.1039/c5tx00406c)
Analysis of Iterative Screening with Stepwise Compound Selection Based on Novartis In-house HTS Data
ACS chemical biology
(2016)
11
1255
(doi: 10.1021/acschembio.6b00029)
Global Mapping of Traditional Chinese Medicine into Bioactivity Space and Pathways Annotation Improves Mechanistic Understanding and Discovers Relationships between Therapeutic Action (Sub)classes
Evidence Based Complementary and Alternative Medicine
(2016)
2016
2106465
(doi: 10.1155/2016/2106465)
Systematic selection of small molecules to promote differentiation of embryonic stem cells and experimental validation for generating cardiomyocytes.
Cell death discovery
(2016)
2
16007
(doi: 10.1038/cddiscovery.2016.7)
Nano-MoO3-mediated synthesis of bioactive thiazolidin-4-ones acting as anti-bacterial agents and their mode-of-action analysis using in silico target prediction, docking and similarity searching
New Journal of Chemistry
(2016)
40
2189
(doi: 10.1039/c5nj02729b)
Understanding cytotoxicity in high-throughput screening collections using an in silico polypharmacological prediction protocol
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2016)
252
Current Trends in Drug Sensitivity Prediction
CURRENT PHARMACEUTICAL DESIGN
(2016)
22
6918
Nano-cuprous oxide catalyzed one-pot synthesis of a carbazole-based STAT3 inhibitor: A facile approach: Via intramolecular C-N bond formation reactions
Rsc Advances
(2016)
6
36775
(doi: 10.1039/c6ra01906d)
Improved Chemical Structure–Activity Modeling Through Data Augmentation
Journal of Chemical Information and Modeling
(2015)
55
2682
(doi: 10.1021/acs.jcim.5b00570)
ARWAR: A network approach for predicting Adverse Drug Reactions
Comput Biol Med
(2015)
68
101
- ‹ previous
- Page 21
