Software Engineer
Software Engineer

Biography

Derek Lilienthal is a software engineer in the High-Performance Computing Platforms group within the Research Computing Division at Pacific Northwest National Laboratory. Lilienthal’s expertise is in optimizing and containerizing machine learning workflows for training deep learning models with billions of parameters across multi-node and multi-graphics processing unit systems. Additionally, Lilienthal has experience leveraging Amazon Web Services for scaling custom generative artificial intelligence (AI) systems and automating code deployments via CI/CD.

Lilienthal is very passionate in bridging the gap between AI research and software engineering to bring state-of-the-art research to production-level readiness for public consumption. Additionally, he is committed to making these systems safe and reliable, which drives his passion to pursue these areas in his PhD. Currently, he is pursuing a PhD in AI at Oregon State University, where his research focuses on trustworthy generative AI agents.

Research Interest

  • Agentic AI
  • Trustworthy Generative AI
  • Software Engineering
  • Distributed Computing 
  • Machine Learning Workflows
  • Cloud Computing
  • Containerization

Education

  • MS in artificial intelligence, San Jose State University
  • BS in computer science, California State University

Publications

  • Lilienthal, Derek B., "Synthetic Data Generation for Accurate, Fair, and Private Recommender Systems" (2024). Master's Theses. 5515. DOI: https://doi.org/10.31979/etd.ggt3-adtq
  • D. Lilienthal, P. Mello, M. Eirinaki and S. Tiomkin, "Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems," in IEEE Access, vol. 12, pp. 58275-58287, 2024, doi: 10.1109/ACCESS.2024.3388299.
  • M. Chowdhary, D. Lilienthal, S. S. Saha and K. C. Palle, "AutoML for On-Sensor Tiny Machine Learning," in IEEE Sensors Letters, vol. 7, no. 11, pp. 1-4, Nov. 2023, Art no. 6008504, doi: 10.1109/LSENS.2023.3327914.
  • Zeng, Q. R, Lilienthal, D., Iordan, M., & Piazza, E. A. (2022). Using a Language Transformer Model to Capture Creativity in Improvised Narratives. Proceedings of the Annual Meeting of the Cognitive Science Society, 44.
  • D. Lilienthal, “Analysis of foreign media influence on the south pacific environment,” SIAM Undergraduate Research Online, vol. 14, 2021. doi:10.1137/21s1403242