Marie Loh

Dr Marie Loh is a Principal Investigator at the Translational Laboratory in Genetic Medicine (TLGM, A*STAR) and Research Assistant Professor at YLLSoM (NUS). She is also Adjunct Assistant Professor at LKCMedicine (NTU), with a visiting position at Imperial College London.

Dr Loh holds a basic degree in Statistics, and a Masters degree in Bioinformatics as well as a Masters in Statistics. Upon completion of her PhD in Australia, she embarked on her postdoctoral career at University of Oulu and Imperial College London.

Dr Loh has received several awards including the ASHG/Charles J. Epstein Trainee Award for Excellence in Human Genetics Research and her work has been published in high impact peer-reviewed journals including Lancet Diabetes and Endocrinology, Nature Genetics and Nature. Her current research focuses on investigating the role of regulatory mechanisms in cardiometabolic diseases, with a specific interest in DNA methylation.

Education

• PhD The University of Western Australia (2009 — 2012)
• MSc National University of Singapore (2008 — 2010)
• MSc National University of Singapore (2003 — 2004)
• BSc National University of Singapore (1999 — 2002)

Companies

• Senior Research Scientist (Epidemiology) National Skin Centre (2021)
• Honorary Senior Lecturer Imperial College London (2019)
• Assistant Professor in Molecular Epidemiology Lee Kong Chian School of Medicine (2019)
• Visiting Researcher Imperial College London (2015 — 2019)
• Adjunct Assistant Professor Lee Kong Chian School of Medicine (2018 — 2019)
• Research Assistant Professor National University of Singapore (2017 — 2019)
• Principal Investigator Translational Laboratory in Genetic Medicine (TLGM); A*STAR (2015 — 2019)
• Post-doctoral Research Associate Imperial College London (2014 — 2015)
• Senior Research Fellow University of Oulu (2012 — 2014)

Skills

• High Performance Computing
• Sequence Analysis
• Systems Biology

Other

Data Mining, Mathematical Modeling, Machine Learning, Sequencing, R, Biostatistics, Computational Biology, Genomics, Statistics, Genetics, Bioinformatics