
Biography
Madhurbain Singh is a Research Associate in the Department of Social, Genetic & Developmental Psychiatry at the Institute of Psychiatry, Psychology & Neuroscience, working in Professor Cathryn Lewis’s group. His expertise is in genetic epidemiology, statistical genetics, and psychiatric epidemiology.
As part of the AMBER project, his current research integrates clinical, genomic, and medical-informatics tools to investigate the causal mechanisms and predictors of antidepressant treatment response.
Madhur studied medicine at Baba Farid University of Health Sciences (India) and did his master’s studies in international health policy at Oslo Metropolitan University (Norway), which included a one-year research placement at the University of Michigan (USA). He completed his PhD in Quantitative Human Genetics at the Virginia Institute for Psychiatric and Behavioral Genetics at Virginia Commonwealth University (USA). His PhD dissertation focused on methodological advances in cross-population genomic discovery and genetically informed causal models.
Research interests
- Genetic Epidemiology
- Statistical Genetics
- Serious Mental Illness
- Cross-Population Genomic Studies
- Pharmacogenomics
Expertise and public engagement
Madhur is actively involved in the PsycheMERGE Network Diversity Initiative workgroup, the Psychiatric Genomics Consortium's Cross-Population Analyses working group, and the Latin American Genomics Consortium’s Major Depressive Disorder working group. He also serves on the faculty of the International Statistical Genetics Workshop at the University of Colorado, Boulder.
Research

The Statistical Genetics Unit
Led by Professor Cathryn Lewis, it is a cross-school unit, comprising 20 researchers in the Social, Genetic & Developmental Psychiatry Centre and in the Department of Medical and Molecular Genetics. Our aims are to develop and apply statistical methods to identify and characterise the genetic component to common, complex disorders.
AMBER: Antidepressant Medications: Biology, Exposure & Response
Insights into the ‘active ingredients’ of anti-depressants and infer how these drugs can better be used to treat depression.
Project status: Ongoing

Statistical and Computational Genetics and Genomics (SCGG) RIG
The SCGG Group brings together researchers at King’s who are developing and working with innovative quantitative and computational approaches for genomic discovery and its impact on human health.
Research

The Statistical Genetics Unit
Led by Professor Cathryn Lewis, it is a cross-school unit, comprising 20 researchers in the Social, Genetic & Developmental Psychiatry Centre and in the Department of Medical and Molecular Genetics. Our aims are to develop and apply statistical methods to identify and characterise the genetic component to common, complex disorders.
AMBER: Antidepressant Medications: Biology, Exposure & Response
Insights into the ‘active ingredients’ of anti-depressants and infer how these drugs can better be used to treat depression.
Project status: Ongoing

Statistical and Computational Genetics and Genomics (SCGG) RIG
The SCGG Group brings together researchers at King’s who are developing and working with innovative quantitative and computational approaches for genomic discovery and its impact on human health.