DrNicholas Knowlton
Senior Research Fellow
Obstet, Gynaecol & Reprod Sci
Orcid identifier0000-0002-7022-3352
- Senior Research FellowObstet, Gynaecol & Reprod Sci
- M&HS BUILDING 501 - Bldg 501, 85 PARK RD, GRAFTON, AUCKLAND, 1023, New Zealand
BIO
Dr. Knowlton has worked as a biomedical statistician and amateur biologist for 16+ years, primarily focused on machine learning approaches as applied to translational diagnostics. His work focuses on practical solutions that can be robustly estimated in the clinic.
Currently, he leads a digital embryology group that is using hybrid AI techniques to improve the success rate of IVF in humans and cattle. He is co-lead of the digital cancer group with Dr. Annette Lasham, where they are working with the country's leading clinicians, NGOs, and patient groups to improve the quality and equity of Breast Cancer treatment in Aotearoa.
Currently, he leads a digital embryology group that is using hybrid AI techniques to improve the success rate of IVF in humans and cattle. He is co-lead of the digital cancer group with Dr. Annette Lasham, where they are working with the country's leading clinicians, NGOs, and patient groups to improve the quality and equity of Breast Cancer treatment in Aotearoa.
UNIVERSITY OF AUCKLAND APPOINTMENTS
- Senior Research FellowFaculty of Medical and Health Sciences, Obstet, Gynaecol & Reprod Sci, New Zealand
ACADEMIC POSITIONS
- Senior LecturerMassey University, School of Mathematical and Computational Sciences, New ZealandAug 2024 - present
DEGREES
- PhDUniversity of Auckland, New Zealand
- MS BiostatisticsUniversity of Oklahoma, Health Sciences Center, OKC, United States
- BS MathematicsUniversity of Oklahoma, Norman, United States
- BA Russian LiteratureUniversity of Oklahoma, Norman, United States
LANGUAGES
- RussianCan speak and understand
FACULTY / INSTITUTE
- Medical and Health Sciences
GRADUATE SUPERVISION
- PhD/Doctoral Accredited Supervisor
MEDIA ENQUIRIES
- Available for media enquiries