Bioinformatics and Computational Biosciences Branch’s (BCBB) Data Science, Biostatistics, and Informatics team focuses on maximizing the value and knowledge contained in your data to identify patterns, prioritize experimental variables, and perform predictive modeling.
Our data analysis methods include:
- Identifying patterns and outliers within numerical, text, or sequence-based data sets
- Using AI/ML algorithms and experimental design
- Data processing (e.g. feature engineering, transformation, normalization, and imputation)
- Developing and evaluating supervised and unsupervised machine learning models
- Variable ranking and prioritization
- Deep learning and AI approaches
- Reproducible data science workflows
- Statistical testing and power analysis
Major Areas of Focus
- Data Science
- Biostatistics
- Informatics
Publications
Gabriel Rosenfeld (BCBB), et al. Radiologist observations of computed tomography (CT) images predict treatment outcome in TB Portals, a real-world database of tuberculosis (TB) cases. PLOS ONE. 2021. 16(3), e0247906.
Collaborator: Zhiyung Lu (NCBI). PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology. Bioinformatics. 2021. 37(13), 1884-1890.
Gabriel Rosenfeld (BCBB), et al. Current challenges in microbiome metadata collection. bioRxiv 2021.05.05.442781.
Collaborator: Patrick Duffy (LMIV). 2020. Structure and function of a malaria transmission blocking vaccine targeting Pfs230 and Pfs230-Pfs48/45 proteins. Communications Biology 3 (395), 1-12.
D. Veltri (BCBB), et al. 2018. Deep Learning Improves Antimicrobial Peptide Recognition. Bioinformatics 34 (16), 2740–2747.
Research Team
Team Leads
Gabriel Rosenfeld, Ph.D.
Contact: gabriel.rosenfeld@nih.gov
Education:
Ph.D., 2013, Weill Cornell Graduate School of Medical Sciences, New York, NY
M.S., Developmental and Molecular Biology, Albert Einstein College of Medicine, Bronx, NY
B.S., Biology, 2005, SUNY Binghamton, Binghamton, NY
Daniel Veltri, Ph.D.
Contact: daniel.veltri@nih.gov
Education:
Ph.D., 2015, George Mason University, Manassas, VA
M.S., 2013, George Mason University, Manassas, VA
B.A., 2006, University of Colorado at Boulder, Boulder, CO
Team Members
Jingwen Gu, M.S.
(Contractor)
Contact: jingwen.gu@nih.gov
Education:
M.S., 2015, Georgetown University, Washington D.C.
Languages Spoken: Chinese
Mariam Namawejje, Ph.D.
(Contractor)
Contact: mariam.namawejje@nih.gov
Education:
Ph.D., 2020, George Mason University, Manassas, VA
M.S., 2009, Makerere University, Kampala, UG
B.S., 2004, Makerere University, Kampala, UG
Mina Peyton, Ph.D.
(Contractor)
Contact: mina.peyton@nih.gov
Education:
Ph.D., 2022, University of Minnesota, Minneapolis, MN
M.S., 2022, University of Minnesota, Minneapolis, MN
Yuyan Yi, Ph.D.
Contact: For contact information, search the NIH Enterprise Directory.
Education:
B.S., 2018, Jilin University, Changchun, Jilin, China
Ph.D., 2023, Auburn University, Auburn, AL
Languages Spoken: Chinese
