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Discover the nexus of Science, Technology, Engineering, and Medicine in our Multidisciplinary Open Access Journal – a platform for breakthroughs and collaborative expertise, driving knowledge and innovation. | Important Update! Building on our inaugural year's success, adjustments to article processing charges will take effect in October. More details coming soon!

Sushil Kumar Shakyawar Editor at IgMin Research

Our mission is to foster interdisciplinary dialogue and accelerate the advancement of knowledge across a wide spectrum of scientific domains.


I received my Ph.D. with a specialization in Computational Systems Biology and Metabolic Modelling from the University of Minho (Portugal). My Ph.D. thesis was mainly focused on systems biology-based applications and metabolic network modeling to understand infection of parasite L. major in humans. The project was supported by European Marie Curie ITN at Silicolife Lda (Portugal). I completed MRes (Master of Research) in Computational Biology from the University of York (UK), and BTech in Biotechnology from the Indian Institute of Technology Guwahati (India). During my postgraduation, I mainly explored machine learning applications for identifying drug-target interactions in human cancer. Previously, I undertook training in biotechnology, bioinformatics, and computational biology. My research project at UNMC mainly focuses on machine learning methods, big data (omics) analysis and integration, and computational biology modeling to understand disease diagnosis, classification, drug-target interaction prediction, and biomarker identification in human diseases including cancer. With the broad-based background and training in bioinformatics, multi-omics, and machine learning (ML), my long term professional career goal is to build upon experiences I developed, and extend them towards the analysis of big-data and development of workflows required to complement data-driven modelling to uncover biological complexities in drug development for human diseases including cancer.

Reasearch Interest

Bioinformatics, Computational Biology, Machine Learning applications in disease subtyping and precision medicine, multi-omics integration