Alexander Moore

I am a PhD A.I. research scientist at Lawrence Livermore National Laboratory.

CASIS LLNL 2024 VLM 2-hour Tutorial Seminar CASIS LLNL 2024 Computational Objectness from Motion in Video Poster and Oral Directed Intern Research

Current research includes video processing for computer vision and multimodal LLMs. Developing a library for adapting arbitrary vision and language models to be multimodal for improved transfer to special domains. This research uses specialized lightweight adapter modules alongside low-rank parameter-efficient finetuning (LoRA, QDoRA) Future work will adapt fine-tuned domain expert LLMs and domain-specific data encoders to bring multimodality to the physical sciences. I am writing occasional updates about the design and implmentation of this research here.

Previously advised by Professor Randy Paffenroth for a PhD in Machine Learning 2019-2023.

My research spans computer vision, foundation models, stable fine-tuning, and transfer learning for deep neural networks to improve real-world application performance.

Select Publications and Projects

Google Scholar

• ChemVise: Maximizing Out-of-Distribution Chemical Detection with the Novel Application of Zero-Shot Learning
  • International Conference on Machine Learning and Applications 2023
  • Oral presentation and paper
• ACGANs Improve Chemical Sensors for Challenging Distributions
  • International Conference on Machine Learning and Applications 2022
  • Oral presentation and paper
• Cycles Improve Conditional Generators
  • International Conference on Advanced Data Mining and Applications 2022
  • Paper and poster
• Identifying Struggling Students by Comparing Online Tutor Clickstreams
  • Artificial Intelligence in Education 2021
  • Short paper and poster
• Identifying Explanations Within Student-Tutor Chatlogs
  • International Conference on Educational Data Mining 2022
• ChemTime: Rapid and Early Classification for Multivariate Time Series Classification of Chemical Sensors
  • Preprint 2023
  • Semantic transfer of molecular representation chemistry corpus with early classification of multivariate time series
• Model-Agnostic Meta Learning for Remote Sensing
  • Deep Learning Final Project 2021
• Benchmarking Policy Gradient and DQN-Family Reinforcement Learning Models on Discrete and Continuous Games
  • Reinforcement Learning Final Project 2020

Education and Awards

• Worcester Polytechnic Institute, Worcester Massachusetts
  • Ph.D. - Data Science 2021 - 2023. 4.0/4.0 GPA
  • M.S. - Data Science 2019 - 2021. 4.0/4.0 GPA
  • $90,000 Annual Presidential Fellowship Award
• Reed College, Portland Oregon
  • Bachelor of Arts - Mathematics and Statistics 2016 - 2019
  • Presidential Commendation for Excellence
  • Dean’s List 2016 - 2017