Daniel Wong is a research engineer specializing in distributed systems, ML+systems integration, caching, and performance, with 13 years of industry and research experience. He recently transitioned from a PhD in Computer Science at Carnegie Mellon to a research role at LayerZero Labs, blending deep academic rigor with production-minded engineering. His background includes research and internships at Google Brain, Dropbox, and Facebook, plus research roles in Singaporean high-performance computing institutes, reflecting a consistent focus on high-throughput, low-latency systems. Daniel’s work habitually bridges theory and practice—profiling and optimizing real systems informed by formal ML and systems insights. Based in Pittsburgh with roots in Singapore and a Cambridge undergraduate foundation, he brings a global perspective and cross-cultural collaboration skills to distributed systems challenges. Colleagues describe him as someone who finds practical leverage points—often caching or scheduling tweaks—that unlock outsized performance gains.
13 years of coding experience
2 years of employment as a software developer
BA honours degree Computer Science Tripos, BA honours degree Computer Science Tripos at University of Cambridge
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Carnegie Mellon University
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