Research Scientist @ MIT CSAIL
Emmanuel Lujan, Ph.D.
I am a Research Scientist at MIT CSAIL and the Julia Lab, working where AI meets scientific simulation and high-performance computing. I am interested in how generative and agentic AI can help navigate high-dimensional, underexplored algorithmic design spaces.
Research Interests
Current Projects
I co-lead a DARPA–MIT initiative on AI-guided algorithmic discovery for fast linear algebra. This research aims to generate novel, high-performance variants of existing algorithms that exploit matrix structure, including mixed precision and tiling, and to develop new strategies for algorithm and architecture selection.
sites.mit.edu/smartsolve →As part of MIT’s CHEFSI project, I work on addressing a major bottleneck in finite-element simulation: the solution of large linear systems. Our goal is to develop new high-performance solutions that integrate optimal solver selection, mixed-precision methods, and scalable distributed execution for exascale simulation.
chefsi.mit.edu →I collaborate with Robert Metcalfe, Turing Award laureate, on integrating AI with physics-based simulation to reduce the levelized cost of energy (LCOE) in deep-borehole heat exchanger arrays.
Selected Publications
Recent Work
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A Full 3D GPU-Accelerated Model for Deep Borehole Heat Exchanger Arrays
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When Structure is Silent: Opportunities for Algorithmic Dispatch in Linear Algebra
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Data-Driven Dynamic Algorithm Dispatch with Large Language Models
Outstanding Short Paper Award
Earlier Work
View full publication list →Contact
I welcome inquiries from prospective collaborators, students interested in AI and HPC for scientific computing, and researchers in related areas.