CV

Education

• B.S. in Biology-Chemistry, Souther Nazarene University, 2013
• Ph.D in Biochemistry, University of Oklahoma Health Sciences Center, 2021 (expected)

Work experience

• Summer 2013-2015: Research Technician
  • Oklahoma Medical Research Foundation
  • Duties included: profiling simple tandem repeats in human genomes using lobSTR, profile DNA methylation across microarrays available in GEO
  • Supervisor: Jonathan Wren
• Fall 2012: Research Assistant
  • Southern Nazarene University
  • Duties included: establishing standard curve for cholesterol esterase activity
  • Supervisor: Daryl Cox
• Fall 2010-2012: Teaching Assistant
  • Southern Nazarene University
  • Duties included: Supervised, lectured, and prepared tests for labs in Cells and Systems
  • Supervisor: Caroline Bentley

Skills

• Python. Seaborn, Pandas, Numpy, Scipy, Scikit-learn, Statsmodels, Plotly, Dash
• R. ggplot, Limma, Methylumi, deseq2
• Keras and PyTorch
• Linux and Cluster computing
• Next-Gen Sequencing alignment and analysis, Bismark, Bowtie, Sam/Bamtools, FastQC, Kallisto, Arioc
• DNA methylation analysis
• Julia

Publications

ALE: automated label extraction from GEO metadata

Cory B Giles, Chase A Brown, Michael Ripperger, Zane Dennis, Xiavan Roopnarinesingh, Hunter Porter, Aleksandra Perz, Jonathan D Wren. "ALE: automated label extraction from GEO metadata." BMC bioinformatics. 1(2).

MNEMONIC: MetageNomic Experiment Mining to create an OTU Network of Inhabitant Correlations

AI Perz, CB Giles, CA Brown, H Porter, X Roopnarinesingh, JD Wren. (2019). "MNEMONIC: MetageNomic Experiment Mining to create an OTU Network of Inhabitant Correlations" BMC Bioinformatics. 1(1).

Placeholder: Trend deviation analysis on SLE

Xiavan‌ ‌Roopnarinesingh,‌ ‌Patrick Coit, ‌Jonathan‌ D. ‌Wren‌ ‌,Amr Sawalha. (2021) SLE trend deviation analysis

Multi-tissue DNA methylation microarray signature is predictive of gene function

Xiavan‌ ‌Roopnarinesingh,‌ ‌Hunter‌ ‌Porter,‌ ‌Cory‌ ‌Giles,‌ ‌Chase‌ ‌Brown,‌ ‌Constantin‌ ‌Georgescu,‌ ‌Jonathan‌ D. ‌Wren‌ ‌. (2021) "Multi-tissue DNA methylation microarray signature is predictive of gene function." Epigenetics. 1(3).

Talks

SPUG Workshop: Intro to Data Visualization with Python

October 17, 2019

DNA methylation predictive capacity is dispersed across the genome and not limited to promoter regions

July 14, 2020

Talk at ISMB 2020, Digital Conference

DSW 2021: Making Data Apps with Dash

September 16, 2021

Seminar at OUHSC, OKC, OK

Conference Presentations

• DNA methylation’s predictive capacity for biological annotations is not limited to promoter regions. BMB Departmental Seminar Series, OUHSC, 2017
• Collapsing DNA Methylation to Informative Genomic Features for Biological Classification. BMB Departmental Seminar Series, OUHSC, 2018
• Collapsing DNA Methylation to Informative Genomic Features for Biological Classification. BMB Departmental Seminar Series, OUHSC, 2019
• DNA methylation’s predictive capacity for biological annotations is dispersed across the methylome and not limited to promoter regions. BMB Departmental Seminar Series, OUHSC, 2020
• Predicting gene function from a global methylation microarray network meta-analysis. BMB Departmental Seminar Series, OUHSC, 2021
• Introduction to Data Visualization, Scientific Python User’s Group (SPUG), OUHSC, 2019
• DNA methylation’s predictive capacity for biological annotations is not limited to promoter regions. Genes and Human Disease Department Seminar, OMRF, 2020
• Biological Classification Using Collapsed Feature Methylation. GREAT, OUHSC, 2016
• DNA methylation’s predictive capacity for biological annotations is not limited to promoter regions. GREAT, OUHSC, 2017
• DNA methylation’s predictive capacity for biological annotations is not limited to promoter regions. GREAT, OUHSC, 2018
• Assessing Correlation of Methylation State of CpG Sites within CpG Islands. MCBIOS, OUHSC, 2016
• Assessing Correlation of Methylation State of CpG Sites within Promoter Regions. MCBIOS, OUHSC, 2017
• Gene Function Prediction Using Global Meta-Analysis of Promoter-Associated CpG Comethylation. MCBIOS, OUHSC, 2018
• DNA methylation’s predictive capacity for biological annotations is not limited to promoter regions. OU BMB Retreat, 2017
• DNA methylation’s predictive capacity for biological annotations is not limited to promoter regions. OMRF Retreat, 2017-18, OMRF
• DNA methylation’s predictive capacity for biological annotations is not limited to promoter regions. Oklahoma Geroscience Symposium, 2018-2019
• American Aging Association (AGE) 48th Annual Meeting, 2019
• DNA methylation’s predictive capacity for biological annotations is dispersed across the methylome and not limited to promoter regions. ISMB, Virtual Conference, 2020
• DNA methylation’s predictive capacity for biological annotations is not limited to promoter regions