Dr Mamunur Rashid

Supervisor Details

Contact Details

Scientific Background

Research Interests

My current research is deeply anchored in digital health equity and explainable AI. By actively exploring the diversity dimensions of multimodal healthcare data, I employ knowledge-driven approaches to augment data gaps and mitigate inherent biases. This critical work ensures that the resulting predictive models are fair, equitable, and transparent, enabling their safe clinical implementation to benefit all patient demographics equally.

Scientific Inspiration

Professor John Quackenbush serves as a profound scientific inspiration due to his pioneering leadership in bridging computational biology, biostatistics, and clinical medicine to tackle complex human diseases. His career exemplifies a seamless interdisciplinary trajectory - spanning from foundational genomics and molecular biology to large-scale data science and clinical translation.

Research Groups

Supervision Style

In three words or phrases: Lead by example, collaborative, goal-driven.

Provision of Training

I will train and mentor you as required, ensuring you also learn from other experienced members of my group. My supervision goes beyond standard academic guidance; I actively teach students Agile Project Management principles and train them to build robust AI data analysis frameworks, equipping them to transition smoothly into competitive industrial roles or further research.

Progression Monitoring and Management

We will embark on this PhD journey together through careful planning and decisive action. I expect you to take ownership of your progression while coming to me when you need help troubleshooting. I like to be kept up to date and will expect to see evidence of method development and data generation results on a regular basis.

Communication

I maintain transparent communication. I am known to email my team and PhD students at all hours of the day and night, though I will not expect you to do the same. We will also utilize a team chat for regular interaction during the week, and I expect you to manage your work-life balance effectively.

Meetings

PhD Students can expect scheduled meetings with me at least once per week. These meetings will be a mixture of face-to-face and via video chat or telephone. I am usually contactable for an instant response 3 or 4 days per week.

Work Patterns

The timing of work in my lab is completely flexible, and (other than attending pre-arranged meetings), I expect students to manage their own time.

Notice Period for Feedback

I need at least 1 week's notice to provide feedback on written work of up to 5,000 words.

MIBTP Project Details

Primary supervisor for:

Project details will appear here when confirmed.

See the PhD Opportunities section to see if this project is currently open for applications via MIBTP.

Please Note: The main page lists projects via BBSRC Research Theme(s) quoted and then relevant Topic(s).

Project Title

Secondary Supervisor(s):

University of Registration:

BBSRC Research Themes:

Sustainable Agriculture and Food (Animal Health and Welfare,Microbial Food Safety,Plant and Crop Science)
Renewable Resources and Clean Growth (Bio-energy,Industrial Biotechnology)
Understanding the Rules of Life (Immunology,Microbiology,Neuroscience and Behaviour,Plant Science,Soil Science,Stem Cells,Structural Biology,Systems Biology)
Integrated Understanding of Health (Ageing,Diet and Health,Pharmaceuticals,Regenerative Biology)

Project Outline

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Co-supervisor on a project with

海角社区

Midlands Integrative Biosciences Training Partnership