Teaching


  • Cornell University (Fall 2016, Spring 2017) Graduate Resident Fellow, Alice Cook House: held weekly office hours for coursework, academic, and career guidance for undergraduates in mathematics, computer science, information science, microeconomics, and operations research.
  • Harvard University (Fall 2014, Spring 2015) Tutor, Cabot House: provided academic and career guidance for undergraduates interested in math and computer science through weekly office hours.
  • Harvard University (Spring 2013) Teaching Fellow, Math 21b: Linear Algebra and Differential Equations
  • Harvard University (Fall 2011) Course Assistant, Freshman Seminar 21u: Calculating Pi
  • Harvard University (Fall 2010) Course Assistant, Freshman Seminar 21u: Calculating Pi
  • University of Chicago (Summer 2013) Teaching Assistant, Linear Algebra and Combinatorics
  • University of Chicago (Summer 2013) Graduate Research Supervisor: supervised three research projects for students enrolled in the summer REU below.
    1. Probabilistic analysis of information sharing protocols (presentation at QCrypt 2014) [PDF]
    2. Irreducible representations of the symmetric group [PDF]
    3. Book-embedding of k-partite graphs [PDF]


Coursework


  • Graduate Level (Computer Science): Machine Learning the Frontier, Advanced Topics in Machine Learning, Machine Learning for Data Science, Advanced Systems, Analysis of Algorithms, Topics on Computation in Networks and Crowds: Social Data Mining, Advanced Topics in Artificial Intelligence: Multi-Agent Systems, Bio-inspired Multi-Agent Systems, Topics in Cryptography and Privacy: Differential Privacy
  • Graduate Level (Economics): Mechanism Design and Approximations, Decision Theory
  • Graduate Level (Mathematics): Evolutionary Dynamics, Probability Theory and Stochastic Processes, Graph Limits Theory, Algebraic Topology, Algebraic Geometry, Commutative Algebra, Complex Analysis, Extremal and Probabilistic Combinatorics, Logic and Computation, Biostatistics, Mathematics of Operations Research, Designing Online Contests
  • Graduate Level (Public Policy): The Political Economy of the School
  • Graduate Level (Sociology): Social Inequality: Contemporary Theories, Debates, and Models, Social Dynamics and Computational Methods
  • Selected Undergraduate Level: Abstract Algebra I: Theory of Groups and Vector Spaces, Algebra II: Theory of Rings and Fields, Combinatorics, Topology I: Topological Spaces and the Fundamental Group, Topology II: Smooth Manifolds, Model Theory, Introduction to Mathematical Logic, Probability and Measure, Microeconomic Theory, Introduction to Quantitative Methods for Economics