Get in touch

CV & Contact

I am seeking PhD opportunities and research collaborations in medical image analysis, continual and adaptive learning, multimodal healthcare AI, and reliable learning from heterogeneous clinical data.

Download CV niditaroy@uvic.ca (institutional)nidita.roy1999@gmail.com (personal)

FIG. 03Nidita Roy

Affiliations & profiles

University of VictoriaDepartment of Computer Science Medical Computer Vision LabResearch group and lab context Google ScholarPublications and citation profile GitHubCode repositories and projects LinkedInProfessional profile IEEE XplorePublished spinal-disease paper

Contact details

Institutional emailniditaroy@uvic.ca
Personal emailnidita.roy1999@gmail.com
AffiliationDepartment of Computer Science, University of Victoria
LabMedical Computer Vision Lab
LocationVictoria, British Columbia, Canada
GitHubgithub.com/Nidita
LinkedInlinkedin.com/in/nidita-roy-0537b31b0
ScholarGoogle Scholar profile
CVNidita_Roy_CV.pdf

Research fit

Current research

Class-incremental learning with modality-aware representation primitives for medical imaging, spanning task-conditioned CT representations, MRI pulse-sequence conditioning, retention, and forward transfer.

Research overview →

Methods and tools

PyTorchClass-incremental learningMedical imagingCT & MRIModality-aware representationsMultimodal learningPython

PhD opportunities and research collaboration

If your group works on adaptive medical AI, medical computer vision, multimodal learning, or clinically grounded machine learning, I would be glad to discuss potential research fit.

niditaroy@uvic.ca (institutional)nidita.roy1999@gmail.com (personal)