Nimra Bukhari

Home

Computer Vision & Bioinformatics

Computer Vision & Bioinformatics Research Specialist

I build and validate deep learning systems for medical and biological imaging — segmentation, classification, and detection — and turn dense biological data into figures a reader understands in one glance.

First & co-author on multiple peer-reviewed papers · Deep learning specialist for medical & biological data

Fig. 1 — Semantic segmentation · histology tile · class boundaries in false colour

Peer-Reviewed Publications
Oxford Academic Illustrations
Medical & Biological Imaging
Spatial Transcriptomics
Manuscript & Peer Review

What I Do

Four areas of focused work

Rather than a general AI services menu, my work sits at four specific intersections of research and applied engineering.

01

Computer Vision & Deep Learning

Image classification, object detection, and segmentation — including emotion recognition and mask/class-type classification.

02

Bioinformatics & Spatial Transcriptomics

End-to-end analysis pipelines for spatial transcriptomics and biological datasets from preprocessing to results.

03

Scientific Writing & Peer Review

Manuscript editing, literature review, and structured peer review support for authors preparing journal submissions.

04

Scientific Illustration

Journal-quality figures and graphical abstracts — including published work in Oxford Academic journals.

Selected Work

Featured Projects

A preview of recent research and applied AI work. The full case index is in the portfolio.

CV / DL

Dermoscopic Lesion Boundary Segmentation

U-Net based semantic segmentation isolating lesion boundaries across a dermoscopic image set.

CV / DL

Facial Emotion Recognition Pipeline

CNN classifier trained to recognize expression categories from facial image datasets.

Bioinformatics

Spatial Transcriptomics Cluster Mapping

Spot-level clustering pipeline mapping cell-type distribution across spatial transcriptomics tissue.

Publications

Peer-reviewed work

A selection of publications spanning computer vision, bioinformatics, and medical imaging.

2024
Deep learning-based segmentation for dermoscopic lesion boundary detection
Journal of Digital Imaging in Medicine — Methods paper
First Author
2023
Spatial transcriptomics reveals cell-type organization in tissue microenvironments
Bioinformatics Advances — Research article
Co-Author
2023
A graphical abstract framework for computational biology manuscripts
Oxford Academic — Illustration & methods note
Illustrator / Co-Author
2022
Mask-aware classification for occluded object detection in constrained imaging
Applied Vision Research — Research article
First Author

Get Started

Have a dataset, a deadline, or a figure that needs to be publication-ready?

Tell me about the project and I’ll follow up with scope, timeline, and pricing within one business day.

Scroll to Top