Tobin Isaac

Tobin Isaac is an Adjunct Professor in the School of Computational Science and Engineering at Georgia Institute of Technology. He holds a B.A. in Computational and Applied Mathematics from Rice University (2007) and a Ph.D. in Computational Science and Engineering from the University of Texas at Austin (2015).

• Education:
• B.A., Computational and Applied Mathematics, Rice University, 2007
• Ph.D., Computational Science and Engineering, University of Texas at Austin, 2015

His research focuses on developing large-scale models for physical systems, addressing both forward and inverse problems. Key areas include scalable numerical methods, adaptive mesh refinement (via p4est library), and parameter inference using observational data. He contributes to PETSc, a widely-used toolkit for scientific computing.

Awards:

• 2015 ACM Gordon Bell Prize (collaborative work)
• 2016 SIAM/Supercomputing Early Career Prize

His work emphasizes high-performance computing and numerical methods for solving partial differential equations, with applications in predictive modeling across disciplines. He actively collaborates on open-source software frameworks for scientific computation.