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.

Personal Website

  • 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

Computational selectivity modelling for bromodomains: Insights into selectivity and discovery of new small-molecule hits
K Giblin, S Hughes, H Boyd, P Hansson, R Sheppard, T Hayhow, A Bender
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Artificial intelligence for predicting molecular electrostatic potentials (ESPs): A step towards developing ESP-guided knowledge-based scoring functions
M Verdonk, R Lewis, A Bender, P Rathi
ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
(2018)
256
Developments in toxicogenomics: understanding and predicting compound-induced toxicity from gene expression data.
B Alexander-Dann, LL Pruteanu, E Oerton, N Sharma, I Berindan-Neagoe, D Módos, A Bender
Mol Omics
(2018)
14
Computer-aided design of multi-target ligands at A
L Kalash, C Val, J Azuaje, MI Loza, F Svensson, A Zoufir, L Mervin, G Ladds, J Brea, R Glen, E Sotelo, A Bender
Journal of Cheminformatics
(2017)
9
Identification of Novel Aurora Kinase A (AURKA) Inhibitors via Hierarchical Ligand-Based Virtual Screening.
Y Kong, A Bender, A Yan
Journal of Chemical Information and Modeling
(2017)
58
DeepSynergy: Predicting anti-cancer drug synergy with Deep Learning
K Preuer, RPI Lewis, S Hochreiter, A Bender, KC Bulusu, G Klambauer
Bioinformatics
(2017)
34
Innovation in Small-Molecule-Druggable Chemical Space: Where are the Initial Modulators of New Targets Published?
SK Ashenden, T kogej, O Engkvist, A Bender
Journal of Chemical Information and Modeling
(2017)
60
Innovation in Small-Molecule-Druggable Chemical Space: Where are the Initial Modulators of New Targets Published?
SK Ashenden, T Kogej, O Engkvist, A Bender
Journal of Chemical Information and Modeling
(2017)
57
Towards the mode of action of Strobilanthes crispus through integrated computational and experimental analyses
KK Wong, LH Mervin, A Mazzolari, A Bender, NS Yaacob
Journal of Plant Biochemistry and Biotechnology
(2017)
26
Orthologue chemical space and its influence on target prediction.
LH Mervin
Bioinformatics
(2017)
34

Research Interest Groups

Telephone number

01223 762983

Email address