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Vijay Padul

Sr. Scientist Bioinformatics

Vijay Padul is working as Scientist – Bioinformatics at Rhenix Lifesciences. At Rhenix, he is leading multiple research projects on bioinformatics, genomics, and Next Generation Sequencing research-related activities, in the organization. His current research projects include the development of personalized neoantigen cancer vaccines and the utilization of publicly available multi-omics cancer datasets to create new insights into cancer biology and its application in cancer therapy.

Vijay Padul has completed his Ph.D. in Life Sciences from TMC-ACTREC, Homi Bhabha National Institute, Navi Mumbai. His Ph.D. study focused on cancer genomics, involving multi-omics analysis of glioma brain tumor subtypes. Vijay has over 10 years of experience in the wet lab as well as in silico approaches for multi-omic studies which include exome sequencing, whole genome sequencing, transcriptome sequencing (RNAseq), and analysis. Previously, Vijay has worked at various graduate and post-graduate degree colleges as an Assistant Professor. Thus, he brings multi-omics expertise and teaching experience to the OmicsFi team.

At Rhenix, Vijay has established bioinformatics pipelines for personalized cancer genomic analysis and his research has highlighted the importance of molecular marker analysis in personalized cancer therapeutics to match the treatment strategies to patient cancer tissue molecular characteristics. His contributions include assessment of patient HLA genotype status for tailoring the personalized neoantigen peptide therapy and glioblastoma subtype analysis. His larger aim is to utilize personalized genomics approaches for aiding effective personalized treatment strategies for cancer patients.

Recent Publications

​Designing Neoantigen Cancer Vaccines, Trials, and Outcomes; Nupur Biswas, Shweta Chakrabarti,Vijay Padul, Lawrence D. Jones, and Shashaanka Ashili; Frontiers in Immunology 14 (February): 1105420 (2023).

Neoantigen vaccine therapy is a promising immunotherapy and several clinical trials are going on currently. In this review, we have discussed about the criteria, processes and challenges associated with the designing of neoantigen vaccines. We have focused on the outcomes of the clinical trials and observed in many cases, vaccines boosted immune system against cancer cells. Use of proper adjuvants at proper dose also affects the outcomes.

Binned Data Provide Better Imputation of Missing Time Series Data from Wearables; Shweta Chakrabarti, Nupur Biswas, Khushi Karnani, Vijay Padul, Lawrence D. Jones, Santosh Kesari, and Shashaanka Ashili; Sensors 23 (3): 1454 (2023).

Presence of missing data is a well-known problem in handling time-series data. Discarding the missing time stamps is not an intelligent approach and hence imputation is needed. In this article, we have demonstrated that the use of data binned around the missing time interval provides a better imputation than the use of a whole dataset. We also explored different algorithms.

Collaborators

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