Imperial College London


Faculty of MedicineDepartment of Surgery & Cancer




+44 (0)20 7594 3899kirill.veselkov04




Sir Alexander Fleming BuildingSouth Kensington Campus





Predictive analytics for precision medicine

Dr. Veselkov's research group focuses on developing computational methods that can make a difference in data-driven global health and disease. He has led the development of a series of field-changing data analytics frameworks to augment emerging molecular ("-omics") profiling technologies into clinical decision support, and population health management. His group expertise combines the use of a diverse range of computational techniques from signal processing, imaging informatics, machine learning, natural language processing and highperformance computing for information extraction from heterogeneous biomedical datasets. His translation interests are precision medicine and digital pathology. Dr Veselkov has received a World Economic Forum (WEF) Young Scientist Award, and currently serves as an active member of the WEF Global Agenda Council on the Future of Computing.

Bioinformatics platform for chemically enhanced pathology

Selected Publications

Journal Articles

Galea D, Laponogov I, Veselkov K, Exploiting and assessing multi-source data for supervised biomedical named entity recognition, Bioinformatics, ISSN:1367-4803

Veselkov K, Sleeman J, Claude E, et al., 2018, BASIS: High-performance bioinformatics platform for processing of large-scale mass spectrometry imaging data in chemically augmented histology., Sci Rep, Vol:8

Gu Q, Veselkov K, 2018, Bi-clustering of metabolic data using matrix factorization tools., Methods

Laponogov I, Sadawi N, Galea D, et al., 2018, ChemDistiller: an engine for metabolite annotation in mass spectrometry., Bioinformatics

Galea D, Inglese P, Cammack L, et al., 2017, Translational utility of a hierarchical classification strategy in biomolecular data analytics, Scientific Reports, Vol:7, ISSN:2045-2322

Veselkov KA, Mirnezami R, Strittmatter N, et al., 2014, Chemo-informatic strategy for imaging mass spectrometry-based hyperspectral profiling of lipid signatures in colorectal cancer, Proceedings of the National Academy of Sciences of the United States of America, Vol:111, ISSN:0027-8424, Pages:1216-1221

Holmes E, Loo RL, Stamler J, et al., 2008, Human metabolic phenotype diversity and its association with diet and blood pressure, Nature, Vol:453, ISSN:0028-0836, Pages:396-U50

Veselkov KA, Lindon JC, Ebbels TMD, et al., 2009, Recursive Segment-Wise Peak Alignment of Biological H-1 NMR Spectra for Improved Metabolic Biomarker Recovery, Analytical Chemistry, Vol:81, ISSN:0003-2700, Pages:56-66

Veselkov KA, Pahomov VI, Lindon JC, et al., 2010, A Metabolic Entropy Approach for Measurements of Systemic Metabolic Disruptions in Patho-Physiological States, Journal of Proteome Research, Vol:9, ISSN:1535-3893, Pages:3537-3544

Veselkov KA, Vingara LK, Masson P, et al., 2011, Optimized Preprocessing of Ultra-Performance Liquid Chromatography/Mass Spectrometry Urinary Metabolic Profiles for Improved Information Recovery, Analytical Chemistry, Vol:83, ISSN:0003-2700, Pages:5864-5872

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