Professor of Molecular Informatics
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
Benchmarking causal reasoning algorithms for gene expression-based compound mechanism of action analysis.
– BMC bioinformatics
(2023)
24,
154
(doi: 10.1186/s12859-023-05277-1)
Deep generative models for 3D molecular structure.
– Current Opinion in Structural Biology
(2023)
80,
102566
(doi: 10.1016/j.sbi.2023.102566)
Using Transcriptomics and Cell Morphology Data in Drug Discovery: The Long Road to Practice
– ACS Medicinal Chemistry Letters
(2023)
14,
386
Mechanism of action deconvolution of the small-molecule pathological tau aggregation inhibitor Anle138b
– Alzheimer's Research and Therapy
(2023)
15,
52
(doi: 10.1186/s13195-023-01182-0)
Mechanism of action deconvolution of the small-molecule pathological tau aggregation inhibitor Anle138b
– Alzheimer's Research & Therapy
(2023)
15,
52
(doi: 10.1186/s13195-023-01182-0)
Integrating structure-based approaches in generative molecular
– Current Opinion in Structural Biology
(2023)
79,
102559
(doi: 10.1016/j.sbi.2023.102559)
In silico prediction and biological assessment of novel angiogenesis modulators from traditional Chinese medicine.
– Front Pharmacol
(2023)
14,
1116081
(doi: 10.3389/fphar.2023.1116081)
Using chemical and biological data to predict drug toxicity
– SLAS discovery : advancing life sciences R & D
(2023)
28,
53
(doi: 10.1016/j.slasd.2022.12.003)
Using Transcriptomics and Cell Morphology Data in Drug Discovery: The Long Road to Practice
– ACS MEDICINAL CHEMISTRY LETTERS
(2023)
Prediction of inotropic effect based on calcium transients in human iPSC-derived cardiomyocytes and machine learning
– Toxicology and Applied Pharmacology
(2022)
459,
116342
(doi: 10.1016/j.taap.2022.116342)
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