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Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
About me
About me
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Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
research
Traveling waves on the FPUT lattice
This project looks into finding traveling wave solutions for the FPUT and investigating how the mKdV can be used a modulation equation for such solutions.
Analyticity of the solution to the Nonlinear Poisson Boltzmann Equation
This project shows solutions of the NPBE are analytic with respect to its parameters.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Statistics I | Fall, 2018
Teaching Assistant, Boston University, Mathematics and Statistics, 2018
Numerical and graphical summaries of univariate and bivariate data. Basic probability, random variables, binomial distribution, normal distribution. One- sample statistical inference for normal means and binomial probabilities. Primarily for students in the social sciences with limited mathematics preparation
Differential Equations | Spring, 2019
Teaching Assistant, Boston University, Mathematics and Statistics, 2019
First-order linear and separable equations. Second-order equations and first-order systems. Linear equations and linearization. Numerical and qualitative analysis. Laplace transforms. Applications and modeling of real phenomena throughout.
Linear Algebra | Summer 1, 2019
Instructor, Boston University, Mathematics and Statistics, 2019
A course in elementary linear algebra. Topics covered include: matrix algebra, Gaussian elimination, determinants, vector spaces, bases, and eigenvalues.
Linear Algebra | Summer 2, 2019
Instructor, Boston University, Mathematics and Statistics, 2019
A course in elementary linear algebra. Topics covered include: matrix algebra, Gaussian elimination, determinants, vector spaces, bases, and eigenvalues.
Probability in Computing | Fall, 2019
Teaching Assistant, Boston University, Computer Science, 2019
Introduction to basic probabilistic concepts and methods used in computer science. Develops an understanding of the crucial role played by randomness in computing, both as a powerful tool and as a challenge to confront and analyze. Emphasis on rigorous reasoning, analysis, and algorithmic thinking.
Probability in Computing | Spring, 2020
Teaching Assistant, Boston University, Computer Science, 2020
Introduction to basic probabilistic concepts and methods used in computer science. Develops an understanding of the crucial role played by randomness in computing, both as a powerful tool and as a challenge to confront and analyze. Emphasis on rigorous reasoning, analysis, and algorithmic thinking.
Discrete Mathematics | Summer 2, 2020
Instructor, Boston University, Mathematics and Statistics, 2020
A course introducing various topics of discrete mathematics. Topics included an introduction to proofs, basic number theory, principles of counting, and modular arithmetic.
Combinatoric Structures | Fall, 2020
Teaching Assistant, Boston University, Computer Science, 2020
Representation, analysis, techniques, and principles for manipulation of basic combinatoric structures used in computer science. Rigorous reasoning is emphasized.
Multivariate Calculus | Spring, 2021
Teaching Assistant, Boston University, Mathematics and Statistics, 2021
Vectors, lines, planes. Multiple integration, cylindrical and spherical coordinates. Partial derivatives, directional derivatives, scalar and vector fields, the gradient, potentials, approximation, multivariate minimization, Stokes’s and related theorems.
Basic Statistics and Probability | Spring, 2022
Teaching Assistant, Boston University, Mathematics and Statistics, 2022
Elementary treatment of probability densities, means, variances, correlation, independence, the central limit theorem, confidence intervals, and p-values. Students will be able to answer questions such as how can a pollster use a sample to predict the uncertainty of an election?
Calculus I | Summer 2, 2022
Instructor, Boston University, Mathematics and Statistics, 2022
A first course in calculus. Topics covered include: limits, derivatives and their applications, and integration.
Basic Statistics and Probability | Fall, 2022
Teaching Assistant, Boston University, Mathematics and Statistics, 2022
Elementary treatment of probability densities, means, variances, correlation, independence, the central limit theorem, confidence intervals, and p-values. Students will be able to answer questions such as how can a pollster use a sample to predict the uncertainty of an election?
Basic Statistics and Probability | Spring, 2023
Lab Coordinator, Boston University, Mathematics and Statistics, 2023
Elementary treatment of probability densities, means, variances, correlation, independence, the central limit theorem, confidence intervals, and p-values. Students will be able to answer questions such as how can a pollster use a sample to predict the uncertainty of an election?