Afroza Rahman is a visiting PhD student in the Rahman Lab. She is a doctoral researcher at the University of East London. Her research applies computational imaging and deep learning to bacterial phenotyping, using high-resolution microscopy data to study antimicrobial resistance in Gram-negative bacteria. Her work focuses on identifying morphological features linked to antibiotic exposure and resistance, and developing an interpretable deep neural network model to classify bacterial susceptibility based on image data.
She holds a BSc in Computer Science and Engineering from the University of Asia Pacific, Dhaka, Bangladesh. She has received several awards, including first place in the Three Minute Thesis competition (2024) and the Impact and Innovation Award (2025). Her broader interests lie in accelerating antibiotic development through image-based analysis of bacterial behaviour.