• PhD in Computer Science, 2022 (expected)

    Massachusetts Institute of Technology

  • SM in Computer Science, 2018

    Massachusetts Institute of Technology

  • BASc in Computer Engineering, 2015

    University of Waterloo



A compiler that generates fast code to perform sparse tensor algebra computations. I extended TACO so that it can emit code to efficiently compute with sparse tensors that are stored in a wide range of specialized data structures. I also helped maintain many other parts of the compiler, as well as developed a web interface that lets users try out TACO without having to install it on their own machines.


A domain-specific programming language for computing on sparse systems using linear algebra. I implemented a new front end for the Simit compiler that was significantly more user-friendly and robust than the original one. This new front end was later also adapted for use in the compiler for GraphIt, a programming language for graph computations.



Dynamic Sparse Tensor Algebra Compilation

arXiv:2112.01394 [cs.MS], 2021.


Conference Publications

Unified Compilation for Lossless Compression and Sparse Computing

Proceedings of the 2022 IEEE/ACM International Symposium on Code Generation and Optimization, 2022.


Compilation of Sparse Array Programming Models

Proceedings of the ACM on Programming Languages, Volume 5, Issue OOPSLA, 2021.


A Sparse Iteration Space Transformation Framework for Sparse Tensor Algebra

Proceedings of the ACM on Programming Languages, Volume 4, Issue OOPSLA, 2020.


Automatic Generation of Efficient Sparse Tensor Format Conversion Routines

41st ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI), 2020.

PDF Slides Video

Format Abstraction for Sparse Tensor Algebra Compilers

Proceedings of the ACM on Programming Languages, Volume 2, Issue OOPSLA, 2018.

PDF Slides Video

The Tensor Algebra Compiler

Proceedings of the ACM on Programming Languages, Volume 1, Issue OOPSLA, 2017.
Distinguished Paper Award


Peer-Reviewed Short/Workshop Publications

Sparse Tensor Transpositions

32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020.
(brief announcement)


Taco: compilation et génération de code d’expressions tensorielles

Chocs Avancées, No. 12, 2018.


taco: A Tool to Generate Tensor Algebra Kernels

32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2017.
(tools paper and demo)

PDF Video

Using Similarity Distance for Performance Prediction of the Query Optimization Process

Sixth International Workshop on Testing Database Systems (DBTest), 2013.


Other Publications

Unified Sparse Formats for Tensor Algebra Compilers
SM Thesis, Massachusetts Institute of Technology, 2018.


Resource Estimation For A Query Optimization Process

Application number: US 13/754,596, Publication number: US9298771 B2, 2013.

Professional Service

Awards & Honors

  • Distinguished Paper Award (OOPSLA, 2017)
  • Albert Sherwood Barber Medal for Best Overall Work Term and Academic Performance (University of Waterloo, 2015)
  • First in Class Engineering Scholarship for 4A term (University of Waterloo, 2015)
  • First in Class Engineering Scholarship for 3B term (University of Waterloo, 2014)
  • First in Class Engineering Scholarship for 3A term (University of Waterloo, 2013)
  • iAnywhere Solutions Inc. Scholarship (University of Waterloo, 2012)