Blake Christierson’s research is making strides in the fields of Bayesian inference and additive manufacturing, while his dedication to guiding future engineers is making waves in the University of Texas at Austin community.
A member of Professor Omar Ghattas' OPTIMUS Center at the Oden Institute for Computational Engineering and Sciences, Blake has immersed himself in the world of PDE-constrained optimization and Bayesian inverse problems, studying surrogate modeling techniques to facilitate these complex computations. Working closely with Nick Alger, he has focused on tensor-network surrogates leveraging randomized decompositions as low-rank approximations to streamline outer-loop problems. Recently, he has also been exploring derivative-informed neural operator surrogates with Thomas O’Leary Roseberry.
Blake and Ghattas are excited to take these novel surrogate approaches to the challenging application of laser powder bed fusion (LPBF) — a 3D printing technique for metals.
“There are many interesting applications for metallic 3D printing,” Blake explains. “A lot of them relate to my engineering background, where complex topologies and multifunctional requirements just aren’t possible with more conventional manufacturing processes.”
“It’s been a really enjoyable project as it taps into my mechanical engineering pursuits, and aligns with my multiphysics simulation experience from my internships at Lawrence Livermore National Laboratory,” the graduate student recalled with a smile. He vividly remembers first seeing LPBF parts on Formula SAE race cars, where the process enabled awe-inspiring lightweight, performant, and integrated design solutions.