Brian K. Ryu

I am a software engineer at NVIDIA in the cuDNN team.

I received my Ph.D. from Stanford University, where I was advized by Prof. Roseanna N. Zia. My dissertation research pursued computational studies and methods for colloid physics and was supported by the NSF Graduate Research Fellowship.

• Ph.D. Soft Matter Physics, Department of Chemical Engineering, Stanford University. [2022]
• M.S. Chemical Engineering, Stanford University. [2019]
• B.S. Chemical and Biomolecular Engineering & Applied Mathematics and Statistics (Double Major), Johns Hopkins University. [2017]

• NVIDIA — Deep Learning Library Software Engineer[2022 - Present]
  • Applied machine learning algorithms to profile performance and optimize cuDNN CUDA library for high performance computing.
  • Worked closely with cross-functional team members to provide data-based recommendations.
• NVIDIA — Software Engineering Intern: CUDA Math Libraries [summer 2021]
  • Applied machine learning algorithms to profile performance and optimize cuBLAS CUDA math library for high performance computing.
• Genentech — Process Development Intern [summer 2016]
  • Characterized 3D structures of proteins via hydroxyl radical footprinting — mass spectrometry (HRF—MS) for epitope mapping of monoclonal antibodies and antibody-drug conjugates.

• Ryu, Brian K.,, Scott M. Fenton, Tuan T. D. Nguyen, Matthew E. Helgeson, and Roseanna N. Zia. "Modeling colloidal interactions that predict equilibrium and non-equilibrium states" The Journal of Chemical Physics 156.22 (2022): 224101. [link]
• Ryu, Brian K., and Roseanna N. Zia. "Size-selective characterization of porous media via tortuous network analysis" Journal of Rheology 66.1 (2022): 219-233. [link]
• Ryu, Brian K., Richard J Hommel, Paul Roberts, and Joëlle Fréchette. "Promoting rotation, friction, and mixed lubrication for particles rolling on microstructured surfaces." Physical Review E 99.2 (2019): 022802. [link]
• Ryu, Brian K., Charles Dhong, and Joëlle Fréchette. "Rolling Spheres on Bioinspired Microstructured Surfaces." Langmuir 33.1 (2017): 164-175. [link]

I was a teching assistant for a number of courses during my undergraduate and graduate studies:

Stanford

• Energy and Mass Transport (CHEMENG 120B), Spring 2021, Stanford.
• Microhydrodynamics (CHEMENG 310), Winter 2019 and Winter 2020, Stanford.

Johns Hopkins

• Discrete Mathematics (550.171), Spring 2016, Johns Hopkins.
• Introduction to Optimization I (550.361), Fall 2015, Johns Hopkins.
• Transport Phenomena I (540.303), Fall 2015, Johns Hopkins.
• Scientific Computing: Differential Equations (550.386), Spring 2015, Johns Hopkins.