# About me

**Research**

My previous work explored a structured (categorical) approach of using recursion schemes to implement neural networks, letting compositionality be promoted in new ways. In particular, I show how neural networks can be represented as fixed-points of recursive data structures, and forward and back propagation as catamorphisms (folds) and anamorphisms (unfolds) over these structures.

**Papers, etc.**

Sep, 2022 Folding over Neural Networks (preprint, proceedings)

M.Nguyen, N.Wu

^{ MPC ‘22}

Sep, 2022 Modular Probabilistic Models via Algebraic Effects (preprint, proceedings, repository)

M.Nguyen, R.Perera, M.Weng, N.Wu

^{ ICFP ‘22}

Jan, 2022 Linked visualisations via Galois dependencies (preprint, proceedings, repository)

R.Perera, M.Nguyen, T.Petricek, M.Weng

^{ POPL ‘22}

Sep, 2021 Composable, Modular Probabilistic Models (extended abstract, poster)

M.Nguyen, R.Perera, M.Weng

^{ ICFP ‘21 Student Research Competition}

Aug, 2021 Composable, Modular Probabilistic Models (paper)

M.Nguyen, R.Perera, M.Weng

^{ IFL ‘21}

Jun, 2019 Modelling Neural Networks with Recursion Schemes (dissertation, poster, repository)

M.Nguyen, N.Wu

^{ Masters Dissertation @ University of Bristol}

**Talks**

Sep, 2022 Folding over Neural Networks (slides)

^{ MPC ‘22}

Sep, 2022 Modular Probabilistic Models via Algebraic Effects (slides)

^{ ICFP ‘22}

May, 2022 Modular Probabilistic Models via Algebraic Effects (slides)

^{ PLInG Seminar @ University of Edinburgh}

Sep, 2021 Composable, Modular Probabilistic Models (video, slides)

^{ ICFP ‘21 Student Research Competition}

Sep, 2021 Composable, Modular Probabilistic Models (video, slides)

^{ IFL ‘21}

**Work**

Research Intern: Dependently typed probabilistic programming for Idris2 (repositories)

*with*Ohad Kammar @ University of Edinburgh

**Teaching**

I give seminars and guest lectures to the Programming Languages Research Group and undergraduates @ University of Bristol.

2020 - 2021

Primary supervisor for a 4th year CS student in their masters dissertation: Deep Learning Architectures As Pure Functions @ University of Bristol.

2017 - 2020

Teaching assistant for the Functional Programming, Language Engineering, and Advanced Topics in Programming Languages units @ University of Bristol.

**Awards**

*ICFP '21 ACM Student Research Competition, 1st Place*

2019

*Bloomberg Award - Best Machine Learning Paper, University of Bristol*

2018

*Graphcore Award - Best Group Project, University of Bristol*

2017

*Netcraft Award - Top Ten Achieving CS Students, University of Bristol*