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Erik Palmer

Contact Information MS 50A-3111 Lawrence Berkeley National Lab 1 Cyclotron Rd. Berkeley, CA 94720 [email protected]

I am a Computer Systems Engineer in the Center for Computational Sciences and Engineering (CCSE) within the Computing Sciences Area at the Lawrence Berkeley National Laboratory.

I received my Doctorate in Applied and Computational Mathematics from the University of South Carolina in 2019. My dissertation involved the development and analysis of a model for polymer gel behavior using stochastic partial differential equations that leveraged parallel computation at scale to gain insight into the microstructure behavior behind macro-level fluid characteristics. As part of this work, I developed and optimized code for Nvidia GPUs in C with Cuda to efficiently simulate the behavior of close to 1 million individual links in the gel network. To manage simulations and analyze the large amount of data produced, I created tools and workflows in Bash, MATLAB, Python and R.

Outside of my dissertation work, I participated in scientific endeavors and spent a significant amount of time teaching mathematics. As an NSF Mathematical Sciences Graduate Intern at the Lawrence Berkeley Lab, I created visualizations for unit tests and profiled the exascale multiphase fluid code MFiX-Exa. I also took part in industry focused activities such as the Graduate Student Mathematical Modeling Camp and the Mathematical Problems in Industry workshop. As an instructor, I taught several mathematics courses ranging from college algebra to differential equations at California State University East Bay and the University of South Carolina.

In addition to my broad interests in mathematical models, simulation and scientific computing, my experiences as an English tutor and teacher, have given me a passion for improving documentation and clear communication.

• Vasquez, P.A., Jin Y., Palmer, E., Hill, D., Forest, M. G., Modeling and Simulation of Mucus Flow in Human Bronchial Epithelial Cell Cultures - PART I: Idealized Axisymmetric Swirling Flow", PlOS Computational Biology , 12.8 (2016): e1004872

• A Stochastic Model for High Performance Computing of Viscoelastic Polymer Behavior, SIAM Annual Meeting, Portland, OR, 2018
• A Parallel Approach to Modeling Polymer Gel Dynamics, SIAM Computational Sciences and Engineering, Atlanta, GA, 2017
• A Stochastic Model for Lung Mucus Gel Networks, SIAM Materials Sciences Conference, Philadelphia, PA, 2016

• Palmer, E., Vasquez., P., A Mean-Field Model for Parallel Computing of Hydrogel Behavior, SIAM Mathematical Aspects of Materials Science, Portland, OR, 2018
• Palmer, E., Russo, M., Myers, A., Nonaka, A., Musser, J. Almgren, A. S., Exascale Computing of Multiphase Flow, Computing Sciences Summer Student Poster Sessions, Berkeley, CA, 2017
• Palmer, E., Forest, G., Hill, D., Vasquez, P., A Stochastic Model for Lung Mucus Gel Networks (Preliminary Results), Annual Meeting of the Society of Mathematical Biology, Atlanta, GA 2015