Project Title
Unravelling Predictors of Adverse Drug Reactions to Cancer Drugs Using Genomic and Environmental Data
Supervisory Team
A/Prof. Shivashankar H Nagaraj (Principal supervisor)
A/Prof. Rodney Lea (Associate Supervisor)
A/Prof. Paul Leo (Associate Supervisor)
Dr. Euan Walpole (External Supervisor)
Project Description
Anoop’s project aims to identify genetic, clinical, and environmental factors associated with adverse drug reactions (ADRs) to cancer therapies and predict their occurrence using machine learning models. Leveraging data from the UK Biobank and Queensland Cancer Registry, the study focuses on detecting genetic variants and other risk factors linked to ADRs, characterizing pharmacogenetic profiles of affected patients, and investigating the role of genetic variants in treatment discontinuation. The project also aims to develop an online tool to support clinicians in individualised ADR risk assessment.
Short Biography
Anoop is a biostatistician and machine learning enthusiast with a strong foundation in numerical analysis and a focused interest in statistical genetics. He previously worked as Biostatistician at CAREADD, St. John’s Research Institute, Bangalore, where he contributed to multidisciplinary clinical and EEG-based neuroimaging studies and co-developed a screening tool for early autism diagnosis. At NIMHANS, he served as a research associate, Biostatistics on a meta-analysis study of intraclass correlation coefficients in cluster RCTs. His skillset includes omics data analysis, statistics, machine learning, and programming in Python, R, and Bash.
Education
2018 – 2020 – Master of Science (Biostatistics) from NIMHANS, Bangalore, India
2015 – 2018 – Bachelor of Science (CME – Computer Science, Mathematics & Electronics) from Christ University, Bangalore, India