Role: Research Assistant at Wellcome/CRUK Gurdon Institute
Overview:
- Collaborated with Nobel laureate Sir John Gurdon on a project leveraging Convolutional Neural Networks (CNNs) to analyze microscopy images of treated frog cells.
- Utilized AI and machine learning techniques to extract phenotypic features from these images.
- Focused on developing algorithms for classifying perturbations, distinguishing diseased cells from healthy cells, and identifying other cellular abnormalities.
Project Highlights:
- Spearheaded the development and implementation of CNN-based image analysis methodologies.
- Contributed to advancing the understanding of cellular dynamics and pathology through innovative AI-driven approaches.
- Played a pivotal role in the interdisciplinary research efforts at the forefront of molecular biology and artificial intelligence.
Key capabilities developed:
- AI/ML: Applied CNNs for image analysis and classification tasks. Developed algorithms to extract meaningful features from microscopy images.
- Data Analysis: Analyzed experimental data to derive actionable insights.
- Collaboration: Worked closely with renowned researchers to achieve project objectives.
- Problem Solving: Identified and addressed challenges in image analysis and classification.