Bio
Vanessa Lama is a Machine Learning Data Engineer. Vanessa joined the AAIMS group to support and enhance the broad area of artificial intelligence (AI) for science projects. This includes the research and development of scientific data collection, transformation, feature engineering, large-scale natural language modeling and understanding. She will enable computer scientists and domain scientists to build end-to-end data and machine learning (ML) pipeline/services to facilitate and expedite the ML-assisted scientific discovery process.
Vanessa received her Master of Science in Computer Science from the University of Tennessee, Knoxville in 2023 under the advisory of Dr. Michela Taufer. During her graduate studies, she’s worked on several projects intersecting high performance computing and AI, and performance evaluation. She has also interned two summers at the Lawrence Livermore National Laboratory as a computing intern working primarily on research software development of performance analysis tools. She received her Bachelor of Science in Mathematics and Computer Science from McNeese State University, in 2020.
Education
Master's of Science in Computer Science from University of Tennessee.
Bachelor's of Science in Computer Science and Mathematics from McNeese State University.