Riddhi Laijawala

As a researcher working at the intersection of digital technologies and women’s health, it is always so empowering to see the latest advancements in FemTech (tech-driven products like apps and wearable devices to address female health, like pregnancy and menopause) such as menstrual blood being discovered as a valuable biomarker, and wearable products for menopause detection. It empowers me, as a South Asian woman in science, to do the work I do.

Pregnancy is expected to be a “one size fits all” phenomenon. Every stereotype of a pregnant person involves peeing on a stick, sharing the happy news with your partner, throwing up every morning, and having a straightforward delivery where you’re screaming out in pain until the miracle of life is pushed out of your body.

I am a mental health researcher working on the HappyMums project, a European consortium that focuses on understanding depression in pregnancy. At King’s College London, we are leading a clinical study involving the use of a smartphone application, called the HappyMums App.  Since the start of our project, much of our discussions have been about privacy and data sharing. The idea of having a large-scale dataset encompassing a thousand participants, across seven different sites, and finding a way