Instructor of 18.200A - Principles of Discrete Applied Mathematics
Undergraduate course, MIT Math, 2020
Topics in discrete applied mathematics, such as probability, information theory, coding theory, generating functions, and linear programming.
Teaching
Instructor of 18.031 - System functions and the Laplace transform
Undergraduate course, MIT Math, 2020
Studies basic continuous control theory as well as representation of functions in the complex frequency domain. Covers generalized functions, unit impulse response, and convolution; and Laplace transform, system (or transfer) function, and the pole diagram. Includes examples from mechanical and electrical engineering.
Instructor of 18.200A - Principles of Discrete Applied Mathematics
Undergraduate course, MIT Math, 2019
Topics in discrete applied mathematics, such as probability, information theory, coding theory, generating functions, and linear programming.
TA of 18.200 - Principles of Discrete Applied Mathematics
Undergraduate course, MIT Math, 2019
Topics in discrete applied mathematics, such as probability, information theory, coding theory, generating functions, and linear programming. This is a communication intensive subject.
TA of 18.022 - Vector Calculus (honors)
Undergraduate course, MIT Math, 2018
Calculus of several variables. The honors section puts more focus on mathematical concepts.
TA of 6.438 - Algorithms for Inference
Graduate course, MIT EECS, 2017
Graduate-level introduction to the principles of statistical inference with probabilistic models defined using graphical representations.
TA of 6.256 - Algebraic Techniques and Semidefinite Optimization
Graduate course, MIT EECS, 2016
Research-oriented course, focused on algebraic and computational techniques for optimization problems involving polynomial equations and inequalities, with particular emphasis on the connections with semidefinite optimization.
TA of 6.251 - Introduction to Mathematical Programming
Graduate course, MIT EECS, 2014
Introduction to linear optimization and its extensions, emphasizing the underlying mathematical structures, geometrical ideas, algorithms and solutions of practical problems.
TA of 6.042 - Math for Computer Science
Undergraduate course, MIT EECS, 2014
Elementary discrete mathematics for computer science and engineering. Emphasis on mathematical definitions and proofs as well as on applicable methods.
TA of MATE 1105 - Linear Algebra 1
Undergraduate course, Universidad de los Andes, 2011
A first course in linear algebra.
TA of MATE 2230 - Complex variable calculus and numerical analysis
Undergraduate course, Universidad de los Andes, 2010
Mathematical concepts for electrical engineering, such as calculus of complex variable, partial differential equations and numerical methods.
Instructor - Colombian Math Olimpiads
Math olympiads, Universidad Antonio Nariño, 2010
Instructor of Algebra, Combinatorics and Geometry at the Colombian Math Olympiads during 2010–2012.