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Quinton Neville
Education
University of Minnesota
PhD Biostatistics 3.75 GPA, Dean’s Scholarship
Minneapolis, MN
2024 - 2020
Columbia University
MS Biostatistics 4.04 GPA, Merit Scholarship
New York, NY
2020 - 2018
St. Olaf College
BA Mathematics 3.84 GPA, Distinction in Maths
Northfield, MN
2018 - 2014
Selected Positions
Sr. Data Scientist & Biostatistician
Saluda Medical
Minneapolis, MN
Present - 2023
Published Spinal Cord Stimulation holistic pain measurement validation, interpretable machine learning for personalized medicine.
Visiting Professor
SDS 322 Advanced Statistical Theory | PUBH 7462 Data Science
St. Olaf & UMN
2024 - 2022
Biostatistician
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University of Minnesota
2024 - 2020
iDeepViewLearn (2023-2024)
Leveraged deep learning architectures for interpretable multiview/omic biomarker detection and prediction in Alzheimer’s (App).
Bayesian Random Covariance Model (2021-2024)
Published novel frequentist RCM paper and built new bayesRCM software for multivariate time-series network analysis.
STRIVE Clinical Trial (2022)
Developed & implemented AIPW causal inference methodology to improve interim efficiency, power, & decision making in COVID trials.
Graduate Data Science Fellow
University of Virginia Biocomplexity Institute
Washington, DC
2020 - 2019
Delivered a geospatial mapping index to Fairfax County, VA, and a NLP/ML pharmaceutical innovation detection report to the NSF-NCSES.
Published Works
Publications | Presentations | Apps
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Present - 2016
- Supervised iDeepViewLearn App (2024)
- Novel Holistic Measure of Chronic Pain Experience (PAIN, 2024)
- bayesRCM: Robust Random Covariance Model for fMRI (JSM, 2023)
- A Random Covariance Model for fMRI Neurofeedback (JSM, 2022)
- Bayesian functional graphical models (2021)
- Mapping Obesogenic Environment Indices in Fairfax, VA (JSM, 2020)
- Predicting Pharmaceutical Innovations via NLP & ML (DSPG, 2019)