Imperial College London

Dr Antonio J Berlanga-Taylor

Faculty of MedicineSchool of Public Health

Research Fellow
 
 
 
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Contact

 

a.berlanga

 
 
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Location

 

47 Praed StreetSt Mary's Campus

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Summary

 

Summary

After graduating in medicine (UNAM, Mexico), I obtained an MSc in Immunology (Oxon), a DPhil in Genomic Medicine (Oxon), held an MRC CGAT Fellowship in Computational Genomics at the University of Oxford and an MRC Intermediate Research Fellowship in Computational Biology and Epidemiology at Imperial College London. I currently work as a Research Fellow in the Computational Epidemiology and Machine Learning Group at Imperial College London (Chadeau-Hyam Group). My research interests lie at the intersection of inflammation and genomics. I aim to understand the interactions between our genes and the environment using both wet lab and computational methods. I previously focussed on vitamin D-gene interactions in immunity, and I am now exploring inflammatory endophenotypes using an integrated approach based on data science and machine learning methods. My research leverages the strength of cohort and clinical trial designs with computational and mechanistic studies in order to understand causal roles of genetic and environmental factors in immune and inflammatory disorders. I have previously held various clinical and public health roles in Colombia and Mexico and was a Scholar for Chevening, CONACyT (Mexico), the Ministry of Education (Mexico) and the Multiple Sclerosis Society of the UK. I am a dual citizen of Mexico and the United Kingdom with close personal and professional ties in both countries.

Publications

Journals

Berlanga A, Cupp M, Tzoulaki I, et al., 2020, Neutrophil to lymphocyte ratio and cancer prognosis: an umbrella review of systematic reviews and meta-analyses of observational studies, Bmc Medicine, Vol:18, ISSN:1741-7015

Romo-García MF, Bastian Y, Zapata-Zuñiga M, et al., 2019, Identification of putative miRNA biomarkers in early rheumatoid arthritis by genome-wide microarray profiling: A pilot study, Gene, Vol:720, ISSN:0378-1119

Cribbs AP, Luna-Valero S, George C, et al., 2019, CGAT-core: a python framework for building scalable, reproducible computational biology workflows, F1000research, Vol:8, Pages:377-377

Conference

Romo-Garcia MF, Bastian Y, Zapata-Zuniga M, et al., 2019, miRNAs expression profile in early rheumatoid arthritis and validation of hsa-miR-361-5p as biomarker for early diagnosis, 17th International Congress of Immunology of the International-Union-of-Immunological-Societies (IUIS), WILEY, Pages:262-263, ISSN:0014-2980

Software

Cribbs A, Heger A, Luna-Valero S, et al., 2019, cgat-developers/cgat-core: 0.5.15, v.0.5.15

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