• 394 Citations
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Personal profile

Research Interests

Her research focuses on incorporation of artificial intelligence into real-world analytic tools. The applications vary from automatic high throughput data curation, phenotyping, specific cohort discovery, estimation of population level disease burden to discovery novel materials. She is serving as Informatics lead for NU division of Chicago Area Patient Centered Outcomes Research Network and for selected collaborative projects.

Dr. Furmanchuk received her PhD in computational chemistry from Jackson State University, MS. She received her trainings in modeling and data mining with Los Alamos National Laboratory, Chemistry Department, and later with Department of Engineering and Computer Science at Northwestern University.

Education/Academic qualification

PhD, Jackson State University

… → 2010

Fingerprint Dive into the research topics where Al'ona Furmanchuk is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Grants 2018 2021

Computer Simulation
Medical Records
Autoimmune Diseases
Precision Medicine
Electronic Health Records

The Sickle Cell Disease Registry

Furmanchuk, A.

ASH Registry, Inc.


Project: Research project

Pharmaceutical Preparations

Research Output 2007 2019

  • 394 Citations
  • 21 Article
2 Citations (Scopus)
Donor Selection
Neural Networks (Computer)
Vulnerable Populations
11 Citations (Scopus)
Seebeck coefficient
Learning systems
Machine Learning
56 Citations (Scopus)

Molecularly Tunable Fluorescent Quantum Defects

Kwon, H., Furmanchuk, A., Kim, M., Meany, B., Guo, Y., Schatz, G. C. & Wang, Y., Jun 1 2016, In : Journal of the American Chemical Society. 138, 21, p. 6878-6885 8 p.

Research output: Contribution to journalArticle

Functional groups
Carbon Nanotubes
14 Citations (Scopus)

Predictive analytics for crystalline materials: Bulk modulus

Furmanchuk, A., Agrawal, A. & Choudhary, A. N., Jan 1 2016, In : RSC Advances. 6, 97, p. 95246-95251 6 p.

Research output: Contribution to journalArticle

Elastic moduli
Crystalline materials
Density functional theory
Physical properties
17 Citations (Scopus)

Molecular-Level Engineering of Adhesion in Carbon Nanomaterial Interfaces

Roenbeck, M. R., Furmanchuk, A., An, Z., Paci, J. T., Wei, X., Nguyen, S., Schatz, G. C. & Espinosa, H. D., Jul 8 2015, In : Nano letters. 15, 7, p. 4504-4516 13 p.

Research output: Contribution to journalArticle

Nanostructured materials