Jonathan Chung

R&D for applications of Fully Homomorphic Encryption (FHE) and Confidential Computing

• Designed a new algorithm for performing regex search with FHE, a key feature for the product

• Led refactoring of TypeScript/WebAssembly FHE libraries and development of APIs and SDK

• Developed a minification tool for the Rego policy language to reduce file sizes by over 90%

• Designed a data format and implemented parallel AWS S3 object read/write for encrypted data

Empirical CS research in automating the Boolean Satisfiability Problem, advised by Dr. Vijay Ganesh

• Developed hypotheses and experiments to correlate solver performance with problem parameters

• Led the design and implementation of an advanced class of SAT solvers using Extended Resolution

• Advised undergraduate students on the design and implementation of parallelization and machine learning techniques for Satisfaction-Driven Clause Learning SAT solvers

Teaching and grading for ECE459 (Programming for Performance) and ECE208 (Discrete Math II)

• Assisted in teaching Rust and CUDA basics and created automated grading scripts for ECE459

• Graded assignments and prepared and taught tutorial sessions for 150+ students in ECE208

Developed features and implemented optimizations in C++ for GPU performance analysis tools

• Profiled application using tools such as perf and cachegrind to identify performance bottlenecks

• Parallelized computation and file I/O operations to speed up overall execution time by 2.5x

Developed data visualization tools and features in C++ for an ultrasound-based 3D imaging device

• Implemented a tiled HEVC video codec to speed up GPU encoding, increasing throughput by 4x

• Migrated CPU-based visualization tool to DirectX 12, improving performance and maintainability

Implemented backend features for multiple video games using TypeScript with Node.js

• Designed a rich presence system to broadcast and log player activity with Redis and DynamoDB

• Implemented first-party microtransactions for purchasing game items using Nintendo’s REST API

Added features and improved infrastructure for a cross-platform Java video game

• Prototyped game item collection infrastructure and developed particle effects and quest systems

CGPA: 95.5%

NSERC Canada Graduate Scholarship - Master’s

Dean’s Entrance Award

Engineering Excellence Fellowship

President’s Graduate Scholarship

CGPA: 91.9%

Dean’s Honour’s List

NSERC Undergraduate Student Research Award

Developing an HTTP service and Discord bot to facilitate trip administration and coordination