Dharmesh D Bhuva

Dharmesh D Bhuva

Senior post-doctoral researcher at SAiGENCI

The University of Adelaide

Biography

Dharmesh D Bhuva is an early career computational biology researcher (PhD in 2020) in the Davis laboratory at SAiGENCI. He has developed high quality bioinformatics software and methods that enable exploration of molecular phenotypes in cancer systems. He currently works on developing statistical and computational methods to analyse high throughput spatial transcriptomics datasets.

Download my resumé .

Interests
  • Spatial Statistics
  • Cancer Systems Biology
  • Computational Biology
Education
  • PhD in Mathematics and Statistics, 2020

    The University of Melbourne

  • MSc in Bioinformatics, 2015

    The University of Melbourne

  • BSc in Computer Science, 2013

    The University of Southampton

Experience

 
 
 
 
 
South Australian Immunogenomics Cancer Institute (SAiGENCI)
Senior Post-doctoral Researcher (Computational Systems Oncology)
Feb 2023 – Present Adelaide

Responsibilities include:

  • Development of novel spatial statistics methods to analyse sub-cellular spatial ‘omics data.
  • Development of machine learning pipelines to automate analysis of histopathology images.
  • Student supervision
 
 
 
 
 
WEHI
Post-doctoral Researcher (Bioinformatics and Biostatistics)
Jun 2020 – Feb 2023 Melbourne

Responsibilities include:

  • Analysis of spatial and single-cell transcriptomics to identify mechanisms of drug-induced phenotypic plasticity in cancer.
  • Data analysis for commercial research collaboration between the CRC for Cancer Therapeutics and Pfizer Inc.
  • Analysis of generic and drug specific regulatory mechanisms in biological systems using data integration approaches.
  • Analysis of multi-omics data associated with drug response across a diverse set of biological models including cell lines and patients.

Recent & Upcoming Talks

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Recent Publications

(2023). vissE.cloud: a webserver to visualise higher order molecular phenotypes from enrichment analysis.

Cite Code DOI Web tool Bioconductor Workshop

(2022). Transcriptomic profiling of cardiac tissues from SARS-CoV-2 patients identifies DNA damage. Immunology.

Cite Code DOI Bioconductor

(2022). Profiling of lung SARS-CoV-2 and influenza virus infection dissects virus-specific host responses and gene signatures. ERJ.

PDF Cite Code DOI Bioconductor

(2022). Computational Screening of Anti-Cancer Drugs Identifies a New BRCA Independent Gene Expression Signature to Predict Breast Cancer Sensitivity to Cisplatin. Cancers.

PDF Cite DOI

(2022). vissE: A versatile tool to identify and visualise higher-order molecular phenotypes from functional enrichment analysis.

PDF Cite Code DOI Web tool Bioconductor Workshop

Recent softwares

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