Shishir K Gupta | Bioinformatics | Best Researcher Award

Published on by Global Scholar Awards

Dr. Shishir K Gupta | Bioinformatics | Best Researcher Award

Assistant Professor | Centre of BioMedical Research | India

Dr. Shishir Kumar Gupta is an Assistant Professor in the Department of Data Sciences at the Centre of BioMedical Research (CBMR), SGPGIMS Campus, Lucknow, India. He earned his Ph.D. in Bioinformatics from the Julius-Maximilians-Universität Würzburg, Germany (2016), focusing on genome re-annotation and immune transcriptome analysis in insects. His research expertise spans Network Science, Bioinformatics, Multi-omics Data Integration, Big Data Analytics, and Machine Learning, with applications in computational modeling of biological systems, understanding disease mechanisms, and developing therapeutic strategies. Dr. Gupta has extensive postdoctoral experience from renowned German institutions, including the University of Würzburg, Heinrich Heine University Düsseldorf (CEPLAS), and University Hospital Erlangen, where he led interdisciplinary projects in systems biology, genomics, and computational immunology. He has authored over 45 peer-reviewed publications and book chapters in high-impact journals such as Frontiers in Immunology, International Journal of Molecular Sciences, and Computational and Structural Biotechnology Journal, and serves as a reviewer for leading journals including Nature Scientific Reports, BMC Bioinformatics, and PLOS Computational Biology. His supervision of graduate students and teaching roles in bioinformatics, genomics, and systems biology at both Indian and European institutions reflect his commitment to academic excellence. Through international collaborations and data-driven research, Dr. Gupta aims to advance precision medicine, network-based drug discovery, and the integration of computational and experimental approaches to address global challenges in infectious diseases, cancer biology, and immunology, thereby contributing to improved healthcare and scientific innovation.

Profiles:  Google Scholar | Scopus | ORCID 

Featured Publications

Kupper, M., Gupta, S. K., Feldhaar, H., & Gross, R. (2014). Versatile roles of the chaperonin GroEL in microorganism–insect interactions. FEMS Microbiology Letters, 353(1), 1–10.

Kaltdorf, M., Srivastava, M., Gupta, S. K., Liang, C., Binder, J., Dietl, A. M., Meir, Z., Haas, H., Osherov, N., & Krappmann, S. (2016). Systematic identification of anti-fungal drug targets by a metabolic network approach. Frontiers in Molecular Biosciences, 3, 22.

Gupta, S. K., Kupper, M., Ratzka, C., Feldhaar, H., Vilcinskas, A., Gross, R., & Förster, F. (2015). Scrutinizing the immune defence inventory of Camponotus floridanus applying total transcriptome sequencing. BMC Genomics, 16(1), 1–21.

Srivastava, M., Gupta, S. K., Abhilash, P. C., & Singh, N. (2012). Structure prediction and binding sites analysis of curcin protein of Jatropha curcas using computational approaches. Journal of Molecular Modeling, 1–9.

Akhoon, B. A., Singh, K. P., Varshney, M., Gupta, S. K., Shukla, Y., & Gupta, S. K. (2014). Understanding the mechanism of atovaquone drug resistance in Plasmodium falciparum cytochrome b mutation Y268S using computational methods. PLoS ONE, 9(10), e110041.

Dr. Shishir Kumar Gupta’s research integrates computational modeling, network science, and multi-omics data analysis to uncover molecular mechanisms of diseases and identify novel therapeutic strategies. His work advances precision medicine and drug discovery, bridging bioinformatics innovation with real-world biomedical and societal impact through data-driven solutions for global health challenges.

Hywel Williams | Genomic Medicine | Best Researcher Award

Published on by Global Scholar Awards

Dr. Hywel Williams | Genomic Medicine | Best Researcher Award

Senior Lecturer | Cardiff University | United Kingdom

Dr. Hywel J. Williams is a distinguished academic and researcher currently serving as a Senior Lecturer in Bioinformatics: Genetic and Genomic Medicine in the Division of Cancer and Genetics, School of Medicine, Cardiff University, since 2019. He holds a Ph.D. in Genetics from Cardiff University (2001–2005), where his research focused on identifying schizophrenia susceptibility genes on chromosome 22 under the supervision of Prof. Sir Michael J. Owen. His earlier academic qualifications include a B.Sc. (Hons) in Genetics from Cardiff University (1994–1996) and an HND in Applied Biology from the University of Wales Institute Cardiff (1992–1994). Dr. Williams also earned recognition as an Associate Fellow of the Higher Education Academy in 2018. With over two decades of research experience, his career spans roles such as Senior Research Associate at UCL’s Great Ormond Street Institute of Child Health (2013–2018), and various research positions at Cardiff University from 1997 to 2012. His work integrates bioinformatics, genomics, and molecular genetics, with a primary focus on rare diseases, psychiatric genetics, and genomic medicine. His key contributions include joint first authorship of the landmark study “The 100,000 Genomes Pilot on Rare Disease Diagnosis in Healthcare” published in the New England Journal of Medicine (2021), and senior authorship in studies enhancing rapid pediatric sequencing and understanding of genetic disorders. Dr. Williams possesses advanced research skills in genomic data analysis, variant interpretation, computational biology, and multi-omic integration, contributing to the clinical translation of genome sequencing technologies. With an outstanding academic record—over 19,000 citations, an h-index of 56, and an i10-index of 101—he is recognized for his influential work in genomic research and data-driven healthcare. His career reflects a commitment to improving diagnostic accuracy and patient care through innovative bioinformatics approaches, making him a key contributor to the global advancement of precision and personalized medicine.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn

Featured Publications

  1. Purcell, S. M., Wray, N. R., Stone, J. L., Visscher, P. M., O’Donovan, M. C., Sullivan, P. F., Williams, H. J., et al. (2009). Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature, 460(7256), 748–752. https://doi.org/10.1038/nature08185 Cited by: 5,521

  2. Schizophrenia Working Group of the Psychiatric Genomics Consortium. (2011). Genome-wide association study identifies five new schizophrenia loci. Nature Genetics, 43(10), 969–976. https://doi.org/10.1038/ng.940 Cited by: 2,110

  3. Fromer, M., Pocklington, A. J., Kavanagh, D. H., Williams, H. J., Dwyer, S., et al. (2014). De novo mutations in schizophrenia implicate synaptic networks. Nature, 506(7487), 179–184. https://doi.org/10.1038/nature12929 Cited by: 1,920

  4. O’Donovan, M. C., Craddock, N., Norton, N., Williams, H., Peirce, T., Moskvina, V., et al. (2008). Identification of loci associated with schizophrenia by genome-wide association and follow-up. Nature Genetics, 40(9), 1053–1055. https://doi.org/10.1038/ng.201 Cited by: 1,327

  5. 100,000 Genomes Project Pilot Investigators (including Williams, H. J.). (2021). 100,000 genomes pilot on rare-disease diagnosis in health care—preliminary report. New England Journal of Medicine, 385(20), 1868–1880. https://doi.org/10.1056/NEJMoa2035790 Cited by: 657