プロフィール詳細

プロジェクトを作成

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Johnathan N.に依頼

United States

Experienced data scientist with a background in biology, medicine, chemistry, physics, statistics, & applied mathematics

プロフィール概要

Experienced Data Scientist with a strong foundation in applied mathematics, spatial statistics, and machine learning, specializing in developing predictive models and optimization techniques. With advanced degrees in biology and mathematics, I have applied data science methodologies across bioinformatics, ecology, medicine, and theoretical mathematics. Proficient in R, Tidyverse, Caret, and TensorFlow/Keras, I excel at uncovering patterns, driving actionable insights, and solving complex problems. My work includes disease risk modeling, medical AI, genetics, group theory, and movement ecology, with a commitment to publishing peer-reviewed research. Passionate about leveraging data to lead scientific discoveries and translate statistical findings into impactful outcomes.

専門分野

• ★ Statistics
• ★ Applied Mathematics
• ★ R
• ☆ Mathematical Chemistry
• ☆ Physical Chemistry
• ☆ Biostatistics
• ☆ Mathematical Biology
• ☆ Zoology
• ☆ Biochemistry
• ☆ Software Engineering
• ☆ Cryptography
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Bayesian Statistics
• ☆ Quantum Statistics
• ☆ Statistical Computing
• ☆ Mathematical Statistics
• ☆ Spatial Statistics
• ☆ Medical Statistics
• ☆ Trend Analysis
• ☆ Ecology
• ☆ Theoretical Physics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Mathematics Education
• ☆ Mathematical Physics
• ☆ Differential Equations
• ☆ Group Theory
• ☆ Computational Mathematics
• ☆ Stochastic Processes
• ☆ Game Theory
• ☆ Pure Mathematics
• ☆ Number Theory
• ☆ Algebra
• ☆ Calculus
• ☆ Mathematical Analysis
• ☆ Graph Theory
• ☆ Discrete Mathematics

サービス

• Research
• Consulting
• Data & AI
• Product Development

Research Scientific and Technical Research, Secondary Data Collection

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

Product Development Formulation, Reverse Engineering

職務経験

Senior Data Scientist (Imaging)

Arkana Laboratories

4月 2022 - 現在

Private Data Science Tutor

Wyzant

4月 2020 - 現在

Contract Data Scientist

Upwork

7月 2019 - 現在

Graduate Researcher & Graduate Teaching Associate

Eastern Michigan University

9月 2018 - 4月 2021

Graduate Researcher & Graduate Teaching Associate

University of Central Florida

8月 2015 - 4月 2018

Undergraduate Researcher

Eastern Michigan University

4月 2013 - 12月 2014

Airborne Cryptologic Linguist (Non-Commissioned Officer)

United States Air Force

9月 2005 - 8月 2011

学歴

Master of Science in Data Science (Expected)

University of Colorado Boulder

11月 2024 - 現在

Graduate Certificate in Data Science (Expected)

University of Colorado Boulder

11月 2024 - 現在

Graduate Certificate in Machine Learning (Expected)

University of Colorado Boulder

11月 2024 - 現在

M.S. in Mathematics (Mathematics and Statistics)

Eastern Michigan University

9月 2018 - 4月 2021

M.S. in Biology (Biology)

University of Central Florida

8月 2015 - 8月 2018

B.S. in Biology, Professional Biochemistry, and Mathematics (Biology, Chemistry, and Mathematics)

Eastern Michigan University

9月 2001 - 12月 2014

Associates in Arabic (Middle Eastern II)

Defense Language Institute Foreign Language Center

2月 2006 - 7月 2009

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

Zhang, H., Haun, R.S., Collin, F., Cassol, C., Napier, J.O.H., Wilson, J., Hassen, S., Ararat, K., Boils, C., Messias, N., et al.(2024). Development and Validation of a Multiclass Model Defining Molecular Archetypes of Kidney Transplant Rejection: A Large Cohort Study of the Banff Human Organ Transplant Gene Expression Panel . Laboratory Investigation. 104. (3).

Eigbire-Molen, O.J., Cassol, C.A., Kenan, D.J., Napier, J.O.H., Burdine, L.J., Coley, S.M., Sharma, S.G.(2024). Smartphone-based machine learning model for real-time assessment of medical kidney biopsy . Journal of Pathology Informatics. 15.

Napier, Johnathan Oliver Howard(2021). Connectivity of Combination Puzzles: Using Machine Learning on Groups.

Napier, Johnathan(2018). Behavioral and Disease Ecology of Gopher Tortoises (Gopherus polyphemus) Post Exclusion and Relocation with a Novel Approach to Homing Determination. University of Central Florida