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Research Scientist - Statistics, R, Probability and Life Sciences
Nicklaus M.

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Hourly Rate: $35
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About Nicklaus

Bio

I hold master's degrees in Neuroscience and Human Nutrition and Exercise Physiology. I have substantial experience teaching college students, including serving as the instructor of record for nutrition and general health courses at Big Bend Community College. As a graduate teaching assistant, I also taught classes in nutrition, exercise physiology, and general physiology and led laboratory sessions. I regularly worked one-on-one with students to help them understand challenging concepts and...

I hold master's degrees in Neuroscience and Human Nutrition and Exercise Physiology. I have substantial experience teaching college students, including serving as the instructor of record for nutrition and general health courses at Big Bend Community College. As a graduate teaching assistant, I also taught classes in nutrition, exercise physiology, and general physiology and led laboratory sessions. I regularly worked one-on-one with students to help them understand challenging concepts and develop practical skills.

I later worked as a research scientist at Washington State University, where I learned and applied statistics, probability, and R programming through study design, data analysis, statistical modeling, and interpretation of results. Mentoring and helping colleagues with statistics and laboratory methods were regular parts of my research work. I can tutor R, statistics, probability, biology, neuroscience, and nutrition. I have also written a book and educational materials on statistical methods in R and given presentations explaining complex scientific topics.

My teaching style is patient, collaborative, and focused on genuine understanding. I begin by finding out what a student already knows, where they're stuck, and what they need to learn. Then I break difficult topics into manageable pieces, connect them to real examples, and work through problems together. In R sessions, we'll write and debug code step by step while discussing the statistical reasoning behind it. My goal is for students to become more confident and independent, whether they're preparing for exams, learning a scientific concept, or tackling a data-analysis project.

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Education

Washington State University
Nutr and ExPhys
Washington State University
PhD

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Approved Subjects

Algebra 1

Algebra 1

I have a strong background in mathematics, quantitative problem-solving, and individualized instruction. My experience includes tutoring students, teaching in academic settings, and applying mathematical concepts extensively in my professional work. I help students develop a solid understanding of Algebra 1 topics, including equations, inequalities, fractions, exponents, functions, graphing, and word problems. My approach emphasizes clear explanations, step-by-step problem-solving, and understanding why mathematical methods work rather than simply memorizing procedures. I recognize that students learn at different paces and often struggle because of gaps in foundational knowledge. I work patiently to identify those gaps, strengthen essential skills, and help students gain the confidence to solve problems independently.
Algebra 2

Algebra 2

I have extensive experience teaching and tutoring students, including serving as a college instructor and working individually with students who have different learning styles and levels of preparation. I understand that Algebra 2 can be challenging, particularly when concepts build on earlier material that students may not have fully mastered, so I focus on identifying gaps in understanding and explaining difficult topics in clear, manageable steps. I can help students work through quadratic equations, polynomial functions, factoring, logarithms, exponentials, systems of equations, and other core Algebra 2 topics. My approach is patient, encouraging, and interactive, with an emphasis on helping students understand why mathematical procedures work, build problem-solving skills, and develop the confidence to tackle new problems independently.
Biology

Biology

I have an extensive background in the biological sciences, with master's degrees in Integrative Physiology and Neuroscience and Nutrition and Exercise Physiology, as well as advanced doctoral-level training. My education and research have provided a strong foundation in cell biology, genetics, anatomy, physiology, neuroscience, and human biology. As a research scientist at Washington State University, I conducted scientific investigations involving biological systems, experimental design, and quantitative analysis. I also have substantial college-level teaching experience, including serving as an instructor of record for Nutrition and General Health courses and teaching physiology-related courses and laboratory sections as a graduate teaching assistant. I can help students understand fundamental biological concepts, prepare for exams, interpret scientific research, and develop effective study strategies. My teaching emphasizes conceptual understanding and the connections between biological processes, helping students move beyond memorization to develop a deeper understanding of how living systems work.
Biostatistics

Biostatistics

My biostatistics expertise comes from conducting scientific research, where I learned and applied statistical methods to investigate questions in neuroscience, nutrition, and physiology. As a research scientist at Washington State University, I designed studies, analyzed biological data using R, developed statistical models, and interpreted results for research projects. I hold master's degrees in Neuroscience and Human Nutrition and Exercise Physiology, which give me a strong foundation for explaining the biological context behind statistical questions. I can help students with experimental design, probability, hypothesis testing, regression, data visualization, and interpreting biostatistical results using R.
Bodybuilding

Bodybuilding

I hold a master's degree in Human Nutrition and Exercise Physiology from Washington State University, providing a strong scientific foundation in resistance training, muscular adaptation, and sports nutrition. I have personally competed in bodybuilding and coached other bodybuilders, combining practical experience with evidence-based training and nutritional principles. My expertise includes resistance exercise programming, progressive overload, muscle hypertrophy, recovery, body composition, and nutrition for athletic performance. I can help students understand the physiological principles underlying bodybuilding and apply them to develop effective, individualized training and nutrition strategies.
Geometry

Geometry

I have substantial experience teaching and tutoring students, including serving as a college instructor and working individually with students to strengthen their understanding of challenging concepts. My background in mathematics, scientific research, and quantitative problem-solving gives me a strong foundation in geometric reasoning, measurement, coordinate geometry, and spatial relationships. I can help students with angles, triangles, circles, polygons, similarity, congruence, transformations, the Pythagorean theorem, and introductory geometric proofs. My teaching approach is patient and interactive, emphasizing visual explanations, logical reasoning, and step-by-step problem-solving to help students understand why geometric principles work rather than simply memorizing formulas.
Linear Algebra

Linear Algebra

I have extensive experience applying linear algebra in scientific research, statistical modeling, and computational data analysis, including my work as a research scientist at Washington State University. I hold master's degrees in Integrative Physiology and Neuroscience and Nutrition and Exercise Physiology, and my quantitative research has involved matrix operations, eigenvalue decomposition, singular value decomposition (SVD), and multivariate statistical methods. I can help students understand systems of linear equations, matrix operations, vector spaces, linear independence, bases, eigenvalues and eigenvectors, orthogonality, projections, and practical applications of linear algebra using R. I also have college-level teaching and tutoring experience, and my approach emphasizes developing mathematical intuition, understanding underlying principles, and solving problems systematically rather than simply memorizing procedures.
Microsoft Excel

Microsoft Excel

I have extensive experience working with quantitative data as a research scientist, statistical consultant, and data analyst, using Microsoft Excel and statistical software to organize, manage, analyze, and visualize complex datasets. My background includes two master's degrees, advanced doctoral training, and substantial college-level teaching and tutoring experience. I can help students with Excel fundamentals, formulas and functions, data cleaning, sorting and filtering, charts, PivotTables, lookup functions, and spreadsheet-based statistical analysis. My teaching approach emphasizes hands-on problem-solving, helping students understand how Excel works and develop the practical skills and confidence to use it independently.
Neuroscience

Neuroscience

I worked as a research scientist at Washington State University, where I designed experiments, analyzed data, and interpreted results for neuroscience research. I’ve taught college courses in nutrition and health as instructor of record, and led classes and labs in physiology, exercise physiology, and nutrition as a teaching assistant. I’m patient and collaborative , and I help students understand neurobiology by connecting concepts to concrete mechanisms and practice problems.
Nutrition

Nutrition

I earned a master's degree in Human Nutrition and Exercise Physiology from Washington State University and previously held the Registered Dietitian credential, which is now inactive. I served as the instructor of record for nutrition and general health courses at Big Bend Community College and also taught nutrition, exercise physiology, and general physiology as a teaching assistant. In these roles, I led classes and laboratory sessions and tutored college students individually, helping them connect biological mechanisms to practical examples. I can help students understand nutrients, digestion and metabolism, energy balance, nutritional assessment, and the relationships between nutrition, physical activity, and human physiology.
Physiology

Physiology

I hold master's degrees in Integrative Physiology and Neuroscience and Nutrition and Exercise Physiology from Washington State University, where I also completed advanced doctoral training (PhD ABD). My academic and research background provides extensive expertise in human physiology, including cardiovascular, respiratory, nervous, endocrine, muscular, and metabolic systems. I have substantial college-level teaching experience, including teaching general physiology and exercise physiology courses and leading laboratory sessions as a graduate teaching assistant, as well as serving as an instructor of record at Big Bend Community College. As a former research scientist at Washington State University, I have investigated physiological processes through experimental research and quantitative analysis, and my tutoring emphasizes understanding the mechanisms underlying physiological function rather than simply memorizing facts.
Probability

Probability

I have extensive experience applying probability theory in scientific research, statistical modeling, and data analysis, including work as a research scientist at Washington State University. I hold master's degrees in Integrative Physiology and Neuroscience and in Nutrition and Exercise Physiology, and have developed advanced expertise in probability distributions, conditional probability, Bayesian inference, stochastic simulation, and statistical estimation. I have taught college-level courses, tutored students, and mentored research colleagues in quantitative methods, and I have developed a book and educational course on Maximum Entropy methods that explore the mathematical foundations of probability and statistical inference. I can help students understand topics ranging from basic probability rules, counting principles, and combinatorics to random variables, probability distributions, expected values, and more advanced applications of probability theory.
R

R

I have extensive experience using R for scientific research, statistical analysis, and data modeling. As a research scientist at Washington State University and through my subsequent analytical work, I have used R to organize and analyze complex datasets, develop statistical models, visualize results, and conduct reproducible analyses. My work has involved regression, multivariate statistical methods, simulation, optimization, and custom programming. I hold master's degrees in Neuroscience and Human Nutrition and Exercise Physiology, and I have experience teaching at the college level. I can help students with fundamental R programming concepts, including vectors, matrices, data frames, factors, indexing, conditional statements, loops, and functions. I also provide assistance with data manipulation, visualization, statistical hypothesis testing, regression, generalized linear models, debugging, and reproducible reporting using RStudio, R Markdown, and Quarto. My teaching approach emphasizes understanding both how code works and why particular analytical methods are appropriate. I work through problems step by step to help students develop the confidence and independence to write, interpret, and troubleshoot their own R code.
Statistics

Statistics

I hold two master's degrees in Integrative Physiology and Neuroscience and Nutrition and Exercise Physiology, along with advanced doctoral training. As a former research scientist at Washington State University and a statistical consultant, I have extensive experience with statistical modeling, experimental design, hypothesis testing, regression, Bayesian inference, and data analysis using R. I also have college-level teaching experience and have developed a book and online course on Maximum Entropy methods for statistical inference. My teaching emphasizes conceptual understanding, practical applications, and helping students become confident, independent problem-solvers.
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Hourly Rate: $35
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