Summary
Robin Luo is a PhD candidate and research scientist focused on making foundation models safer, more efficient, and practical for real-world tasks like information extraction and databases. With eight years of experience across academia and industry—including internships at ByteDance, RTX, and Splunk—he publishes and ships methods that cut reasoning cost and improve safety (e.g., latent-space safety alignment with large gains and attention outlier removal yielding 26.7% reasoning accuracy improvements). He co-founded startups in 2026 to push LLM applications beyond research, and his work spans PEFT, quantization-robust multimodal transformers, and hierarchical temporal tokenization for time-series reasoning. Based in San Jose, he combines deep theoretical insights (exposing EOS-induced jailbreaks) with practical engineering in Python and Java to move models from lab to product.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Georgia Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Northwestern University
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Michigan State University
Chinese, English, Japanese