Dr Nick Knowlton PhD

Qualifications

• Doctor of Philosophy in Molecular Medicine - University of Auckland (2019)

Certifications and Registrations

• Licence, Supervisor, Massey University

Research Interests

Cancer biology, Spatial Analysis, -Omic Analysis, Computer Vision, Risk Models

Research Opportunities

• Human IVF Improvement via Machine Learning  (01/10/2024) Using Computer Vision and ML methods improve the treatment and selection of human embryos for IVF.
• Breast Density  (01/10/2024) Using computer vision models examine the NZ population by ethnicity to understand how density modifies cancer risk. An emphasis is placed on young women.
• Bovine Fertility  (01/10/2024) A computer vision project to identify the morphology and morphokinetics of bovine sperm. How does these factors interact with fertility and calves on the ground.

Area of Expertise

Field of research codes
Agricultural Biotechnology (100100):
Applied Statistics (010401):
Artificial Intelligence and Image Processing (080100):
Cancer Diagnosis (111202):
Information And Computing Sciences (080000):
Mathematical Sciences (010000):
Medical And Health Sciences (110000):
Medical Biotechnology (100400):
Oncology and Carcinogenesis (111200):
Statistics (010400):
Technology (100000)

Keywords

Artificial Intelligence in Healthcare, Machine Learning, Computer Vision, eXplainable AI (xAI), Reproductive Biology, In Vitro Fertilisation (IVF), Breast Cancer Research, Cancer Diagnostics, Oncology, Medical Imaging, Image-Based Phenotyping, Statistical Modeling, Applied Statistics, Translational Science, Health Equity, Ethnicity-Based Risk Stratification, Omics Data Analysis