Profile Picture

Amy Glen

Postdoctoral Researcher at Oregon State University

Ph.D. in Computer Science

knowledge graphs
bioinformatics
data mining
graph algorithms
data integration

I'm a computer scientist working on methods for gleaning insights from biomedical data. In particular, my research focuses on biomedical knowledge graphs—building them, serving them, and reasoning across them.

Better data integration means better data mining, and knowledge graphs are a great substrate for both of those tasks.

For the last five years, I've worked on the NIH's NCATS Biomedical Data Translator project, serving as an architect and primary technical lead for our team's biomedical knowledge graph and reasoning engine at Oregon State University.

Prior to that, I spent six years working in industry on data projects in the life sciences, in roles ranging from analyst to product manager to software engineer.

I've also co-founded companies in the biomedical data space, focused on enhancing biomedical literature search tools with integration of clinical trial information and providing evidence-focused competitive intelligence for digital therapeutics.

Beyond my professional work, I'm honored to be a member of the University of Vermont Athletic Hall of Fame for my achievements in cross-country skiing, including a national collegiate championship.

Ph.D. Computer Science Oregon State University 2020 - 2024
B.A. Biology University of Vermont 2009 - 2012

Highlighted works

Experience

knowledge graphs
bioinformatics
data mining
graph algorithms
data integration
2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Postbaccalaureate Researcher
Analyst Programmer
Graduate Researcher/Fellow
Postdoctoral Scholar
Oregon State University
Co-founder, Principal, Engineering & Product
PloverAI
Co-founder, Principal, Engineering & Product
DTxIntelligence
Scientific Writer
Cardiovascular Product Manager
cvPipeline
Intern
Analyst
VR Analytical
See my CV for more details.

Publications

2024 Generating biomedical knowledge graphs from knowledge bases, registries, and multiomic data
G. Qin, K. Narsinh, Q. Wei, J. C. Roach, A. Joshi, S. L. Goetz, S. T. Moxon, M. H. Brush, C. Xu, Y. Yao, A. K. Glen, E. D. Morris, A. Ralevski, R. Roper, B. Belhu, Y. Zhang, I. Shmulevich, J. Hadlock, and G. Glusman
bioRxiv
2024 MicrobiomeKG: Bridging microbiome research and host health through knowledge graphs
S. L. Goetz, A. K. Glen, and G. Glusman
bioRxiv
2024 Computational methods for integrating and querying biomedical knowledge to facilitate translational science
A. K. Glen. Ph.D. dissertation. Embargoed for publication until June 2025.
Oregon State University
2023 ARAX: A graph-based modular reasoning tool for translational biomedicine
A. K. Glen*, C. Ma*, L. Mendoza, F. Womack, E. C. Wood, M. Sinha, L. Acevedo, L. G. Kvarfordt, R. C. Peene, S. Liu, A. S. Hoffman, J. C. Roach, E. W. Deutsch, S. A. Ramsey, and D. Koslicki
Bioinformatics
2022 RTX-KG2: A system for building a semantically standardized knowledge graph for translational biomedicine
E. C. Wood*, A. K. Glen*, L. G. Kvarfordt, F. Womack, L. Acevedo, T. S. Yoon, C. Ma, V. Flores, M. Sinha, Y. Chodpathumwan, A. Termehchy, J. C. Roach, L. Mendoza, A. S. Hoffman, E. W. Deutsch, D. Koslicki, and S. A. Ramsey
BMC Bioinformatics
2022 Biolink model: A universal schema for knowledge graphs in clinical, biomedical, and translational science
D. R. Unni, S. A. T. Moxon, M. Bada, M. Brush, R. Bruskiewich, J. H. Caufield, P. A. Clemons, V. Dancik, M. Dumontier, K. Fecho, G. Glusman, J. J. Hadlock, N. L. Harris, A. Joshi, T. Putman, G. Qin, S. A. Ramsey, K. A. Shefchek, H. Solbrig, K. Soman, A. E. Thessen, M. A. Haendel, C. Bizon, C. J. Mungall, and The Biomedical Data Translator Consortium
Clinical and Translational Science
2022 Progress toward a universal biomedical data translator
K. Fecho, A. E. Thessen, S. E. Baranzini, C. Bizon, J. J. Hadlock, S. Huang, R. T. Roper, N. Southall, C. Ta, P. B. Watkins, M. D. Williams, H. Xu, W. Byrd, V. Dančík, M. P. Duby, M. Dumontier, G. Glusman, N. L. Harris, E. W. Hinderer, G. Hyde, A. Johs, A. I. Su, G. Qin, Q. Zhu, and The Biomedical Data Translator Consortium
Clinical and Translational Science
2021 Structural generalizability: The case of similarity search
Y. Chodpathumwan, A. Termehchy, S. A. Ramsey, A. Shrestha, A. Glen, and Z. Liu
ACM SIGMOD
* These authors contributed equally to the work.

Beyond work

I grew up in Anchorage, Alaska, and have always enjoyed spending time outdoors. In my earlier years, I competed as a professional cross-country skier. These days, I still ski, though mostly downhill, and I'm also a big fan of mountain biking.

I live in the Oregon Cascades with a few too many animals (see below), who never fail to keep things interesting.

NCAA Skiing Championships, Bozeman, MT, 2012.
Whistler, BC, 2023.
Burlington, VT, 2023.
NCAA Skiing Championships, Bozeman, MT, 2012.
Badger the cat. Oakridge, OR, 2023.
Mt. Bachelor, OR, 2022.
Walter. Dead Mountain, OR, 2023.
Ginny and Barney. Oakridge, OR, 2024.