- Supporting STEM education initiatives and mentorship programs
- Virtual Reality
- Tech enthusiast, passionate about exploring the latest advancements and innovations
- Coding and Programming
- Artificial Intelligence (AI) and Machine Learning
- Linear Algebra
- Probability and Statistics
Amber Rynott
Professor Of Mathematics
Joplin
Summary
Accomplished Mathematics Professor at the University of Missouri, specializing in machine learning and optimization techniques. Demonstrated expertise in Python programming and statistical analysis, leading interdisciplinary research projects. Recognized for mentoring graduate students and publishing peer-reviewed papers, showcasing strong communication and problem-solving skills in complex mathematical concepts.
Overview
17
17
years of professional experience
1
1
Language
Work History
Mathematics Professor
University of Missouri
01.2017 - Current
- created and instructed advanced mathematics courses covering the fundamentals of machine learning and artificial intelligence, including linear algebra, probability, statistics, and optimization.
- developed and oversaw research projects that involved data analysis, algorithm creation, and mathematical modeling, encouraging strong computational thinking and problem-solving skills.
- published peer-reviewed papers in applied and mathematical fields, showcasing the capacity to carry out and explain intricate technical research related to artificial intelligence.
- In accordance with AI coding requirements, programming languages (such as Python, MATLAB, and R) were used for data analysis, simulations, and computational mathematics instruction.
- worked with the engineering and computer science departments to conduct multidisciplinary research that combined mathematical theory with real-world AI applications.
- shown leadership and technological direction in fields adjacent to artificial intelligence by mentoring graduate students in their thesis work in statistical inference, neural networks, and numerical techniques.
Mathematician
Pearson
01.2010 - 12.2016
- created and evaluated mathematical models to mimic real-world systems and streamline procedures in data science, engineering, and finance, among other domains.
- used sophisticated mathematical tools, such as differential equations, linear algebra, and numerical approaches, to resolve challenging theoretical and real-world issues.
used programs like Python, MATLAB, or R to design and build algorithms for data analysis, pattern recognition, and optimization.
- worked in interdisciplinary teams to convert research or corporate goals into measurable issues while offering quantitative guidance to inform choices.
- performed probabilistic modeling and statistical analysis to evaluate risks, identify data trends, and forecast outcomes for a range of applications.
- made sure that mathematical results were understandable to both expert and non-technical audiences by communicating them in thorough reports, presentations, and technical publications.
Mathematics Specialist
St Louis University
05.2008 - 12.2009
- created and assessed math courses and tests, making sure they were in line with academic requirements and fostered the growth of critical thinking abilities.
- gave teams or instructors professional assistance and training on how to apply mathematical tools, resources, and teaching techniques.
- examined program or student performance data to find patterns, identify learning gaps, and suggest focused changes.
- created educational resources and mathematical models to aid in cross-disciplinary teaching, research, or policymaking.
- worked along with partners from academia, government, or business to use sophisticated mathematical techniques into project planning or strategic goals.
- To guarantee mathematical correctness, lucidity, and suitability for the target audience, technical documents, reports, or test items were examined and improved.
Education
Ph.D. - Mathematics
Harvard University
Cambridge, MA 05.2001 -
Master of Science - Mathematics
University of Missouri
Columbia, MO 05.2001 -
Bachelor of Science - Mathematics
University of Missouri
Columbia, MO 05.2001 -
Skills
Cryptography
Number theory
Optimization techniques
Ordinary differential equations
Python programming
Machine learning
Statistical analysis
Database management
Neural networks
Natural language processing
Interests
Timeline
Mathematics Professor
University of Missouri
01.2017 - Current
Mathematician
Pearson
01.2010 - 12.2016
Mathematics Specialist
St Louis University
05.2008 - 12.2009
Ph.D. - Mathematics
Harvard University
05.2001 -
Master of Science - Mathematics
University of Missouri
05.2001 -
Bachelor of Science - Mathematics
University of Missouri
05.2001 -
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