Professional Experience

Researcher (Full Time)

Research Involvements:

January 2023 - Present (Hybrid)

Project Administration and Supervision:

• Professor Mingbo Niu
• Contact Emails: Ref. available on request

Research Overview:

Research Project Details:

• Data Collection: Pre-collected Quantitative Approach and Collaborative Qualitative lab-based Data
• "Trailblazing Multi-Phase Machine Learning Framework for Clinical Validation in Triple-Negative Breast Cancer Diagnosis: Integrating Advanced Imaging and Prognostic Analysis Techniques"

Another Research Project Involvement:

Research Project Details:

• Data Collection: Pre-collected Quantitative Approach and Collaborative Qualitative lab-based Data. Map cardiac electrophysiology data from optical mapping experiments on heart tissue. Fluorescence images indicative of voltage or calcium transients in cardiac tissue.
• The ElectroMap software, designed to process and analyze electrophysiological data, is a valuable tool for cardiac research. The Python-based version (ElectroMap-py) enhances its accessibility and functionality.

Some Current/Main Collaborators:

• Boumediene Hamzi (California Institute of Technology, Caltech; Imperial College London)
• Sadia Zaman (Queen Mary University, London, UK)
• Lujain Alsadder (Queen Mary University, London, UK)

• Epidemiology, Cardiovascular Imaging