DrRestu Restuadi
Research Associate in Computational Biology & Mathematics
Institute of Clinical Sciences - Faculty of Medicine
Orcid identifier0000-0001-8434-4465 (opens in a new tab)
- Research Associate in Computational Biology & MathematicsInstitute of Clinical Sciences - Faculty of Medicine
- 2.01, LMS Building, Hammersmith Campus, United Kingdom
BIO
Dr Restuadi is a bioinformatics researcher with a focus on understanding the complex biological mechanisms underlying various diseases, including infectious diseases, neurodegenerative disorders, autoimmune conditions, and cancer. He utilizes advanced statistical analysis techniques to examine large-scale datasets, seeking patterns and insights that can contribute to improved understanding of disease development and progression. His research aims to support the development of novel diagnostics, preventative strategies, and targeted therapies for a wide range of health challenges.
Currently, he is engaged in research to optimize cancer medication regimens through mathematical modelling. Working under the supervision of Dr Louise Fets and Professor Boris Lenhard at Imperial College London LMS, he employs his expertise in bioinformatics and statistical analysis to develop computational models. These models help to understand cancer drug absorption and metabolism, providing insights that can then be used to optimize drug delivery strategies. The goal of this research is to personalise treatment plans, leading to maximized treatment efficacy and minimized side effects for cancer patients.
In addition to his research endeavours within Imperial College London, Restuadi also holds a part-time position as an associate bioinformatician and statistical method consultant. He works with University College London's Institute for Child Health (UCL-ICH) and NIHR Great Ormond Street Hospital Biomedical Research Centre (GOSH-BRC). In this role, he contributes to the curation of a large cohort of UK national-wide paediatric autoimmune disease data. He also shares his skills by teaching basic and advanced statistics to researchers at these institutions.
Currently, he is engaged in research to optimize cancer medication regimens through mathematical modelling. Working under the supervision of Dr Louise Fets and Professor Boris Lenhard at Imperial College London LMS, he employs his expertise in bioinformatics and statistical analysis to develop computational models. These models help to understand cancer drug absorption and metabolism, providing insights that can then be used to optimize drug delivery strategies. The goal of this research is to personalise treatment plans, leading to maximized treatment efficacy and minimized side effects for cancer patients.
In addition to his research endeavours within Imperial College London, Restuadi also holds a part-time position as an associate bioinformatician and statistical method consultant. He works with University College London's Institute for Child Health (UCL-ICH) and NIHR Great Ormond Street Hospital Biomedical Research Centre (GOSH-BRC). In this role, he contributes to the curation of a large cohort of UK national-wide paediatric autoimmune disease data. He also shares his skills by teaching basic and advanced statistics to researchers at these institutions.
ACADEMIC POSITIONS
- Bioinformatics and Statistics Associate FellowUniversity College London, Infection, Immunity & Infalmmation Departement, LONDON, United Kingdom24 Aug 2023 - present
- Bioinformatics and Statistics FellowUCL Biomedical Research Centre, Great Ormond Street Institute for Child Health, London, United Kingdom1 Jun 2021 - 30 Jun 2023
DEGREES
- PhD, Disease GeneticsUniversity of Queensland, Brisbane, Australia26 Sep 2016 - 15 Mar 2021
- MSc, BioinformaticsUniversity of Queensland, Brisbane, Australia14 Jan 2014 - 15 Dec 2015
- BSc, BiotechnologyAtma Jaya Catholic University of Indonesia, Jakarta, Indonesia1 Jul 2006 - 22 Jun 2010
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
- IndonesianCan read, write, speak, understand and peer review
- JavaneseCan speak and understand
FACULTY
- Faculty of Medicine
POSITION NAME
- Research Associate in Computational Biology & Math