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Amber Simpson

Biomedical Data Science Artificial Intelligence For Cancer Research Computational Oncology Histopathology Image Analysis Biomedical Informatics
Queen’s University School of Computing

About

Dr. Amber Simpson is a Canada Research Chair in Biomedical Computing and Informatics and an Associate Professor in the Department of Biomedical and Molecular Sciences and the School of Computing at Queen’s University. She is also an Affiliate of the Vector Institute for AI and a Senior Investigator at the Canadian Cancer Trials Group. An expert in biomedical data science and artificial intelligence, Dr. Simpson develops innovative computational strategies to improve human health. She has authored over 90 peer-reviewed papers in high-impact journals such as Nature Communications, Cell, Cancer Research, and Computers in Medicine and Biology. Her research has been presented at leading national and international venues, including the National Academies of Sciences, Engineering, and Medicine. Dr. Simpson earned her BSc from Trent University (2000) and her PhD in Computer Science from Queen’s University (2010), followed by a postdoctoral fellowship at Vanderbilt University in the Department of Biomedical Engineering. Before returning to Queen’s in 2019, she was an Assistant Attending Computational Biologist at Memorial Sloan Kettering Cancer Center and an Assistant Professor at Weill Cornell Medical College. Her contributions have been recognized with numerous awards, including the American Association for Cancer Research Career Development Award (2016) and the Mihran & Mary Basmajian Award for Excellence in Health Research (2020). Her research is supported by leading funding agencies such as the NIH, CIHR, NSERC, SSHRC, and CFI. Beyond research, Dr. Simpson is deeply engaged in the scientific community. She is a chartered member of NIH study section, a Senior Editor at Cancer Research, and serves on the advisory boards of the Imaging Data Commons and Digital Health Discovery Platform. She also leads Kingston’s inclusion in the Terry Fox Marathon of Hope Cancer Centres Network. As the founding Director of the Centre for Health Innovation, a partnership between Kingston Health Sciences Centre and Queen’s University, she is spearheading efforts to expand research infrastructure, including a histopathology suite, biobank, and genomics facility, ensuring access to state-of-the-art resources for patient-centered research.

Research Performance Summary

120
Total Papers
9578
Total Citations
43
H-Index
2005-2025
Active Research Span

First Recorded Paper

Computer–Assisted deformity correction using the ilizarov method

Year: 2005

Citations: 9

Venue: International Conference on Medical Image Computing and Computer-Assisted

Latest Recorded Paper

Finding reproducible and prognostic radiomic features in variable slice thickness contrast enhanced ct of colorectal liver metastases

Year: 2025

Citations: 5

Venue: The journal of machine learning for biomedical imaging 2 (UNSURE2023)

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2025
6
2024
11
2023
4
2022
13
2021
9
2020
5
2019
11
2018
15
2017
8
2016
5
2015
5

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 7
Journal 31
Book 0

Top Coauthors

Simpson Chakraborty

Research Impact by Period

2025-2026

Period Stats
Papers 6
Citations 41
Avg. Citations / Paper 6.8
H-Index 5

2020-2024

Period Stats
Papers 42
Citations 4837
Avg. Citations / Paper 115.2
H-Index 20

2015-2019

Period Stats
Papers 44
Citations 3717
Avg. Citations / Paper 84.5
H-Index 28

2010-2014

Period Stats
Papers 25
Citations 913
Avg. Citations / Paper 36.5
H-Index 17

2005-2009

Period Stats
Papers 3
Citations 70
Avg. Citations / Paper 23.3
H-Index 3

Contact and Professional Links

Contact Information

amber.simpson@queensu.ca

Detected Research Keywords

Image Guided Liver Guided Liver Surgery Colorectal Liver Metastases Pancreatic Ductal Adenocarcinoma Correction Image Guided Image Guided Surgery Intraductal Papillary Mucinous Papillary Mucinous Neoplasms Computed Tomography Image Contrast Enhanced Ct