I am first-year PhD student, funded by the prestigious WD Armstrong and Accelerate Science Program. With a strong academic background and extensive industry experience, I am wholeheartedly dedicated to revolutionizing the field of mental healthcare through data, particularly explainable artificial intelligence models.

Research Interests: My research focuses on harnessing the power of speech processing, clinical decision support systems, natural language processing, machine learning methods, health, and wearable technologies. I am leveraging these tools to enhance prevention, remission, and management of mental health conditions such as psychosis, schizophrenia, depression, and anxiety. My goal is to contribute to the development of personalized and effective treatments in mental healthcare.

Education: I attained a Master’s degree in Applied Statistical Modelling and Health Informatics from King’s College London in 2022. Throughout my studies, I acquired comprehensive expertise in statistics, genomics, clinical trial, prediction modelling, machine learning, and health informatics. In 2016, I earned my Bachelor’s degree in Computer Science and Technology from the University of Allahabad, India, solidifying a strong foundation in the field.

Industry Experience: With more than 5 years of experience in the technology sector, I have consistently demonstrated expertise in various pivotal roles. Data Architect at AS Watson, London (2022-23) Product Consultant at Big Basket Bangalore, India (2020-21) Data Intelligence Engineer at Dell Technologies, Bangalore, India (2017-20)

Image of  Shrankhla Pandey

Institution: University of Cambridge

Department: Department of Computer Science and Technology

Position: PhD student

Team: main

Supervisor: Sarah Morgan and Graham Murray