About me

I'm a Senior Research Associate (EPSRC Doctoral Prize Fellow) in programming language theory and implementation, and am affiliated with the Programming Languages Research Group at the University of Bristol. Before this, I also did my PhD and MEng in Computer Science at Bristol. Some of my main interests include functional programming (Haskell in particular), types & strongly-typed languages, and all things glorious that involve them.


Currently, I'm looking at:

live bidirectional program modification generating updated source code for producing a desired change to the original program's output.
bidirectional methods for compositional web development implementing a modular framework for composing both the back-end "models" and front-end "views" of web applications in synchronisation.
program slicing techniques for data provenance calculating the fragments of programs needed to compute specific fragments of their outputs.
Monte Carlo algorithms for property-based testing exploiting MC notions of "similarity" for randomly generating program inputs that satisfy a desired property.

For my PhD, I investigated how algebraic effects and effect handlers can be used to improve the design of probabilistic programming languages. I used these techniques to implement a type-safe, modular framework for programmable inference [λ], and an embedding of probabilistic models as first-class citizens [λ].

Other projects I've led include the application of recursion schemes for implementing and training neural networks [λ]; in particular, I show how neural networks can be represented as fixed-points of recursive data structures, and forward and back propagation as folds and unfolds over these structures.

Papers, etc.

  Conjugate Operators for Transparent, Explorable Research Outputs (preprint)
   J.Bond, C. David, M.Nguyen, D.Orchard, R.Perera
  In submission, 2024
 Effects and Effect Handlers for Probabilistic Programming (pdf)
   Doctoral Thesis, 2023
  Effect Handlers for Programmable Inference (preprint, proceedings)
   M.Nguyen, R.Perera, M.Wang, S.Ramsay
   Haskell Symposium, 2023
  Towards Type-driven Data Science in Idris (abstract, repository)
   O.Kammar, K.Marek, M.Nguyen, M.Steuwer, J.Walters, R.Wright
   Languages for Inference Workshop, 2023
 Folding over Neural Networks (preprint, proceedings)
   M.Nguyen, N.Wu
   Mathematics of Program Construction, 2022
 Modular Probabilistic Models via Algebraic Effects (preprint, proceedings, repository)
   M.Nguyen, R.Perera, M.Weng, N.Wu
   International Conference on Functional Programming, 2022
 Linked visualisations via Galois dependencies (preprint, proceedings, repository)
   R.Perera, M.Nguyen, T.Petricek, M.Weng
   Principles Of Programming Languages, 2022
 Composable, Modular Probabilistic Models (extended abstract, poster)
   M.Nguyen, R.Perera, M.Weng
   International Conference on Functional Programming (SRC), 2021
 Composable, Modular Probabilistic Models (paper)
   M.Nguyen, R.Perera, M.Weng
   Implementation and Application of Functional Languages, 2021


 Effects and Effect Handlers for Probabilistic Programming
    PhD Defence, Sep 2023
 Effect Handlers for Programmable Inference
   Haskell Symposium, Sep 2023  (video)
   Tech Talk @ The Alan Turing Institute, May 2023
 Modular Probabilistic Models via Algebraic Effects  
   International Conference on Functional Programming, Sep 2022 (video, slides)
   Programming Languages Seminar @ University of Edinburgh, May 2022 (slides)
   Tech Talk @ The Alan Turing Institute, Jan 2023
 Folding over Neural Networks  
   Mathematics of Program Construction, Sep 2022
 Composable, Modular Probabilistic Models
   International Conference on Functional Programming (SRC), Sep 2021 (video, slides)
   Implementation and Application of Functional Languages,  Sep 2021 (video, slides)

Work + Studies

Sep 2023 - Current
EPSRC Doctoral Prize Fellow in Programming Languages
  hosted by Cristina David @ University of Bristol
Jun 2022 - Sep 2022
Research Intern: Dependently typed probabilistic programming for Idris2 (repositories)
  supervised by Ohad Kammar @ University of Edinburgh
Jan 2020 - Sep 2023
PhD in Programming Languages
  supervised by Meng Wang and Roly Perera @ University of Bristol
Sep 2016 - Oct 2020
MEng in Computer Science (first class)
  supervised by Nicolas Wu @ University of Bristol


Supervisor for a 2nd year CS student in their research internship, on "Typed Functional Programming Techniques for Probabilistic Programming" @ University of Bristol.
2020 - 2021
Supervisor for a 4th year CS student in their masters dissertation, on "Deep Learning Architectures As Pure Functions" @ University of Bristol.
2019 - Current
Seminars and guest lectures to the Programming Languages Research Group and CS undergraduates @ University of Bristol.
2017 - Current
Teaching assistant for the CS units Advanced Topics in Programming Languages (4th year), Language Engineering (2nd year), and Functional Programming (1st year) @ University of Bristol.


2023 ESPRC Doctoral Prize Fellowship Award for the proposal "Robust, Reusable Computational Models via Typed Functional Programming"
2021 1st Place in the ICFP ACM Student Research Competition
2019 Best Machine Learning Dissertation, Bloomberg Award, University of Bristol
2018 Best Third Year Group Project, Graphcore Award, University of Bristol
2017 Top Ten Achieving CS Students, Netcraft Award, University of Bristol