Summary
Overview
Work History
Education
Skills
Certification
Interests
Timeline
Generic

Justin Adrich

Lead Mathematician
Middleburg, Florida

Summary

An results-oriented mathematician with deep expertise in applied mathematics, data analysis, and mathematical modeling, providing over four years of combined industry and academic experience. Their research spans optimization, cryptography, and quantitative analysis, driving innovation in a variety of scientific and technological disciplines. As a Lead Mathematician at a prominent research institution, they formulate and implement mathematical models for complex systems, optimize algorithm performance for large-scale calculations, and apply advanced statistical techniques to real-world problems.

Their industry experience includes high-impact roles as an Adjunct Professor and Senior Data Analyst, with expertise in machine learning applications, numerical simulations, and high-dimensional data analysis. They hold a PhD in Mathematics, supported by a Master's and Bachelor's in Pure and Applied Mathematics, with strong foundations in statistical inference, computational methods, and differential equations.

They have performed groundbreaking work on stochastic processes, graph theory, and cryptographic security, including peer-reviewed publications, patents, and awards for mathematical optimization and algorithm design work. As an educator, they have taught mathematical modeling, probability theory, linear algebra, and advanced calculus, mentoring hundreds of students to professional and academic accomplishment.

Technically proficient in Python, MATLAB, R, LaTeX, Mathematica, and Maple, they are also profoundly knowledgeable in machine learning, financial mathematics, and algorithmic complexity. Known for intellectual rigor, innovation, and interdisciplinarity, they are advancing the role of mathematics at the intersection of data, computation, and new science.

Overview

9
9
years of professional experience
1
1
Certification
1
1
Language

Work History

Senior Health Researcher

Rocky Mountain University of Health Professions
01.2024 - 11.2024
  • Provided research consultation on quantitative, qualitative, and mixed-methods studies.
  • Assisted in data collection, analysis, and research methodology guidance for various doctoral programs.
  • Gathered and organized information for research purposes.
  • Conducted thorough literature reviews to identify gaps in knowledge and inform future research directions.
  • Maintained detailed records of experimental procedures, observations, and results for accurate reporting and replication purposes.
  • Collaborated with interdisciplinary teams to conduct comprehensive studies and generate valuable insights.
  • Presented research findings at national and international conferences, raising the profile of the institution.

Coding Researcher

Rocky Mountain University
06.2022 - 09.2023
  • Assisted in designing and teaching courses in biostatistics and research methods.
  • Supported online and hybrid graduate students in educational technology platforms.
  • Managed multiple research projects simultaneously, ensuring timely completion within budget constraints.
  • Synthesized large volumes of information, identifying key trends and patterns relevant to research objectives.
  • Utilized statistical packages to analyze data and create visualizations.
  • Designed experiments with rigorous controls to maximize validity of findings.

Regulatory Research Scientist in Software Development

Intermountain Health
02.2019 - 05.2020
  • Conducts regulatory research in maternal-fetal medicine and neonatal intensive care unit (NICU) studies.
  • Manages end-to-end research processes, ensuring compliance with clinical research regulations.
  • Evaluated new technologies for potential integration into existing research processes, driving continuous improvement efforts.
  • Mentored junior scientists, fostering professional growth and enhancing team capabilities.
  • Streamlined research processes to meet tight deadlines for multiple projects.
  • Developed novel research methodologies for improved data analysis and interpretation.
  • Identified opportunities for innovation by staying abreast of emerging trends in the scientific community.
  • Designed experiments using sophisticated statistical techniques, yielding robust results that supported key hypotheses.
  • Managed laboratory budgets effectively, allocating funds strategically for maximum impact on research outcomes.

Academic & Research Contributions in Computer Science

University of Ontario
08.2016 - 01.2018
  • Adjunct professor in computational and systems immunology, contributing to teaching, course development, and mentoring.
  • Engages in interdisciplinary research on immune responses to cancer and computational approaches in biological data analysis.
  • Serves on an executive committee that guides strategies for advancing cancer immunotherapies.
  • Self-motivated, with a strong sense of personal responsibility.
  • Excellent communication skills, both verbal and written.
  • Proven ability to learn quickly and adapt to new situations.
  • Passionate about learning and committed to continual improvement.
  • Worked well in a team setting, providing support and guidance.
  • Managed time efficiently in order to complete all tasks within deadlines.
  • Assisted with day-to-day operations, working efficiently and productively with all team members.

Mathematics Specialist

University of North Florida
01.2025 - Current
  • Served as a mentor for new teachers, sharing best practices and offering guidance on classroom management techniques.
  • Guided students in the development of study skills, test-taking strategies, and time management techniques, leading to increased academic success.
  • Developed strong relationships with parents through regular communication about student progress and goals.
  • Developed curriculum materials that aligned with state standards, ensuring consistency across grade levels and subject areas.
  • Enhanced student understanding by incorporating real-world applications and problem-solving techniques in lessons.
  • Utilized differentiated instruction techniques to meet the diverse needs of learners, promoting inclusive education practices.
  • Supported English Language Learners in achieving proficiency in mathematical concepts through targeted language support strategies.

Education

B.S. - Applied Mathematics

Napa Valley College
01.2012

Ph.D. - Physics

University of Central Florida
03-2019

Master of Science - Software development

University of Ontario
04.2001 -

Masters - Applied Mathematics

University of Niagara Falls Canada
01.2013

B.S. - Applied Mathematics

Napa Valley College
01.2012

Bachelor of Science - Mathematics

Liverpool University
01.2011

Certificate - Mathematics

Stanford University Graduate School of Business
01.2007

Skills

  • Proficient in Python, MATLAB, R, C, and Java for AI model development and data analysis
  • Experienced in machine learning and deep learning using TensorFlow, PyTorch, Scikit-learn, and Keras
  • Strong background in computational physics, numerical modeling, and mathematical optimization for real-world simulations
  • Skilled in linear algebra, calculus, probability, and statistical inference applied to model training and algorithm design
  • Proficient in data preprocessing, feature engineering, and large-scale data handling using SQL, Pandas, and NumPy
  • Hands-on experience with simulation techniques, including Monte Carlo methods and physics-informed AI models
  • Adept at algorithm development, model evaluation, and error analysis for performance optimization
  • Knowledgeable in scientific computing, reproducible research, and workflow automation with Git, Docker, and Jupyter
  • Strong abilities in technical writing, data-driven research, and interdisciplinary collaboration across computer science, mathematics, and physics
  • Passionate about developing efficient, transparent, and explainable AI systems for real-world applications

Certification

Master of Science in Data Science

Interests

Artificial Intelligence Training & Model Optimization

Machine Learning & Deep Learning Research

Data Engineering for AI Systems

Human-AI Collaboration & Model Explainability

Human-AI Collaboration & Model Explainability

Timeline

Mathematics Specialist

University of North Florida
01.2025 - Current

Senior Health Researcher

Rocky Mountain University of Health Professions
01.2024 - 11.2024

Coding Researcher

Rocky Mountain University
06.2022 - 09.2023

Regulatory Research Scientist in Software Development

Intermountain Health
02.2019 - 05.2020

Academic & Research Contributions in Computer Science

University of Ontario
08.2016 - 01.2018

Master of Science - Software development

University of Ontario
04.2001 -

Bachelor of Science - Mathematics

Liverpool University

B.S. - Applied Mathematics

Napa Valley College

Ph.D. - Physics

University of Central Florida

Masters - Applied Mathematics

University of Niagara Falls Canada

B.S. - Applied Mathematics

Napa Valley College

Certificate - Mathematics

Stanford University Graduate School of Business
Justin AdrichLead Mathematician