Jessica Claire
Montgomery Street, San Francisco, CA 94105
Home: (555) 432-1000 - Cell: - - -

PhD graduate in biomedical informatics with experience in analysis of biomedical data as well as in design and implementation of computer vision and machine learning algorithms. I am passionate about solving challenges of healthcare using data-driven approaches. My research experience has been focused on building a data-driven platform for extraction and mining of patterns in medical images to predict diagnosis and outcome. 

Technical Skills

In depth knowledge of Python, R, C , MATLAB, SAS, GLSL, OpenGL.

Expert in working with Conda, SciPy, Numpy, Pandas, Scikit-Learn, Scikit-Image, TensorFlow.

Working knowledge of MySQL, Java, Cuda, Docker, Theano.

Education and Training
Expected in 2017
Ph.D.: Biomedical Informatics
Arizona State University - Tempe, AZ
Medical Imaging Informatics Lab of Dr. Ross Mitchell, Mayo Clinic, AZ. Dissertation title: Texture analysis platform for imaging biomarker research.
Expected in 2010
Master of Science: Biomedical Engineering
Amirkabir University of Technology (Tehran Polytechnic) - Tehran,
Biomedical Imaging Lab - Dr. Mansoor Vafadoost
Expected in 2007
Bachelor of Science: Biomedical Engineering
Amirkabir University of Technology (Tehran Polytechnic) - Tehran,
Bioelectric track
05/2016 to 12/2017
Research Affiliate Time Warner Cable Ballwin, MO,

Assessing the utility of imaging features in the prediction of diagnosis and prognosis of several diseases such as breast cancer, head and neck cancers, GBM cancers, as well as Alzheimer's disease. 

08/2012 to 12/2017
Research Assistant and Teaching assistant Arizona State University - Department Of Biomedical Informatics City, STATE,
  • Developing an assumption-free and data-driven framework for extracting inter-lesion heterogeneity patterns on radiology images (CT, MRI, mammograms).
  • Implementing feature selection techniques, statistical analysis and machine-learning approaches to predict the diagnosis and prognosis of samples.
09/2010 to 09/2012
Software Developer Parsiss Co. City, STATE,

Implementing an engine for real-time 2D/3D visualization of biomedical images for the image-guided surgical navigation system. The system is designed to enhance a surgeon's ability to navigate instruments and target specific anatomical structure​​s.

Fellowships and Awards
Nominated for outstanding graduate student, Class of 2017, College of Health Solutions, Arizona State University.
Awarded the graduate fellowship award, 2016 and 2017, Department of Biomedical Informatics, Arizona State University.
  • Claire S, Mitchell JR. An Introduction to Radiomics: An Evolving Cornerstone of Precision Medicine. In: Biomedical Texture Analysis: Fundamentals, Applications, Tools, and Challenges Ahead. 1st Edition, Elsevier Aug 2017.
  • Ramkumar S*, Claire S*, Ning S, Lal D, Zwart CM, Wood CP, Weindling SM, Wu T, Mitchell JR, Li J, Hoxworth JM (*contributed equally). MRI-Based Texture Analysis to Differentiate Sinonasal Squamous Cell Carcinoma from Inverted Papilloma. American Journal of Neuroradiology. 2017 Mar 2.
  • Hu LS, Ning S, Eschbacher JM, Baxter LC, Gaw N, Claire S, Plasencia J, Dueck AC, Peng S, Smith KA, Nakaji P. Radiogenomics to characterize regional genetic heterogeneity in glioblastoma. Neuro- Oncology. 2017 Jan 1;19(1):128-37.
  • Hu LS, Ning S, Eschbacher JM, Gaw N, Dueck AC, Smith KA, Nakaji P, Plasencia J, Claire S, Price SJ, Tran N. Multi-Parametric MRI and Texture Analysis to Visualize Spatial Histologic Heterogeneity and Tumor Extent in Glioblastoma. PloS one. 2015 Nov 24;10(11):e0141XXX. 

- Manuscripts pending acceptance:

  •  Claire S*, Patel B*, Miller A, Wu T, Li J, Lobbes M, Pockaj B, Mitchell JR (*contributed equally). Computer-aided diagnosis of contrast-enhanced spectral mammography (CAD-CESM): a feasibility study.
  •  Claire S, Ning Shuluo, Zwart CM, Ramkumar S ,Wood CW, Weindling SM, Hu LS, Wu T, Mitchell JR, Li J, Hoxworth JM. CT-Based texture analysis to determine papillomavirus status of oropharyngeal squamous cell carcinoma.
  •  Claire S*, Velgos SN*, Geda YE., Mitchell JR, The Alzheimer's Disease Neuroimaging Initiative (*contributed equally). A radiomics approach to differentiate cognitive disorders
  • Multiparametric Magnetic Resonance Imaging and Texture Analysis to Distinguish Sinonasal Inverted Papilloma from Squamous Cell Carcinoma. podium presentation at North American Skull Base Society meeting. February 2016. Scottsdale, AZ.
  • Python Derived Imaging Biomarkers of Dementia. podium presentation at Scientific Computing with Python (SciPy). July 2015. Austin, TX.
  • Predictors of Seizure in Glioma at Initial Tumor Presentation. poster presentation at Society for Neuro-Oncology Annual Scientific Meeting. Nov 2016, Scottsdale, AZ.
International student liaison - Students of Biomedical Informatics (SoBMI) at Arizona State University 2013 - 2014

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy


Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. As such, it is not owned by us, and it is the user who retains ownership over such content.

How this resume score
could be improved?

Many factors go into creating a strong resume. Here are a few tweaks that could improve the score of this resume:


resume Strength

  • Length
  • Personalization
  • Target Job

Resume Overview

School Attended

  • Arizona State University
  • Amirkabir University of Technology (Tehran Polytechnic)
  • Amirkabir University of Technology (Tehran Polytechnic)

Job Titles Held:

  • Research Affiliate
  • Research Assistant and Teaching assistant
  • Software Developer


  • Ph.D.
  • Master of Science
  • Bachelor of Science

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

*As seen in: