Nov 2024 – Dec 2025 · 1 yr 1 mo

Jun 2021 – Nov 2024 · 3 yrs 5 mos

• Shared Fluid Framework team
• Contributed to building distributed data structures (DDS) for the open-source Fluid Framework, enabling real-time collaboration in products like Microsoft Word and Loop.
• Designed and implemented a new comment threading model for Word using Fluid DDS, supporting consistent hierarchical ordering of replies and comments.

Apr 2020 – Jun 2021 · 1 yr 2 mos · Toronto, Ontario, Canada

May 2019 – Dec 2019 · 7 mos · Toronto, Canada Area

• Worked in Bioinformatics and Computational Genomics Laboratory @ Princess Margaret Cancer Research, supervised by Dr. Benjamin Haibe-Kains
• Implemented the Python/C++ software package to make fast feature selections, based on Minimum Redundancy Maximum Relevance (mRMR) algorithm
• Implemented the R/C++ software package to construct and solve Integer Linear Programming (ILP) problems
• Worked closely with machine learning researchers to build and optimize the new Siamese Neural Network model, for predicting the survival time based on radiomics features
• Worked on the accurate integration of machine learning models into firm platforms
• Worked on the paper of software package implementation and relevant research

May 2017 – Apr 2018 · 11 mos · Markham, Ontario, Canada

• Worked in Multimedia Display team on the core verification during the pre/post silicon phase of next generations ASICs, participated in simulation and debug activities through the development cycle
• Implemented the verification environment with C++ and SystemVerilog
• Simulated the design with RTL simulators, reported the bugs emerge in the environment
• Implemented the tests and scenarios with Perl, collected metrics and tracked verification progress with verification automation tools
• Communicated with Architecture or Digit Circuit team to fix the bugs of the design