Category: Women in Computing

A Clinician-PhD Candidate’s Journey as a ‘Data Science For All/ Women’ Fellow

Hello, my name is Aizaan and I’m a UKRI AI4Health PhD Candidate in Artificial Intelligence (AI) and Machine Learning (ML)I’m a Malaysian-born, British-trained physician with previous experience in neurology, medical education, epidemiology, and public health. My research project looks at using AI to diagnose disease progression in brain tumours from speech data collected from a mobile app developed by The Brain Tumour Charity

In September 2021, I was successfully selected as a Data Science for All/ Women (DS4A) Fellow and was invited to participate in their Fall 2021 training programme. This free technical programme is open to candidates in Europe and North America and less than 5% of ~5000 applicants usually get admitted. The programme is geared towards empowering women from underrepresented groups to pursue careers in data science and the Fellowship consisted of two tracks: Executives (for those planning on pursuing formal leadership roles in data-driven teams) and Practitioners (for those intending to become data scientists/ analysts/ quantitative researchers). Executives receive training using no-code cases, whilst Practitioners are trained to use Python, SQL and Tableau in real-world cases.