About me
Aircraft performance engineer at Bombardier.
I also write on Substack. Topics of relevance include biology, physics, complex systems, psychology, history, and philosophy. Check it out here.
The fuel that feeds my writing are, in part, books; book notes of mine are recorded here.
Education
Undergraduate degree in the Mechanical Engineering Co-operative Program from the University of Alberta. During which, internship experience was gained in the energy, industrial construction, and commercial aviation industries.
MASc. in Systems Design Engineering at the University of Waterloo. Research interests laid at the intersection between machine learning and fluid dynamics. The goal of the research was to leverage the dense spatio-temporal datasets produced by direct numerical simulations of fluid flow, and employ data driven learning algorithms to develop a better understanding of the turbulent phenomena present in these simulations.
September 2020 - December 2022
MASc. in Systems Design Engineering - Machine Learning and Intelligence Specialization, University of Waterloo, Waterloo, Ontario, Canada
Graduate Course Work: Fluid Mechanics, Hydrodynamic Stability and Turbulence, Mathematics of Computation, Pattern Recognition
Cumulative GPA: 4.0/4.0
September 2015 - April 2020
Bachelor of Science in Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada
Co-operative Program with Distinction
Favourite Courses: Heat Transfer, Fluid Mechanics, Energy Conversion
Cumulative GPA: 3.6/4.0
Hobbies & Interests
I enjoy reading, writing, and playing chess. To remain active I strength train ~3 times per week and cardiovascular train ~1-2 times per week. I enjoy baking as well, with pumpkin spice cupcakes and apple pies having recently been added to my culinary resume. I am also learning Tagalog, though hindi ako marunong mag-tagalog mabuti.
I also enjoy watching anime, among my favourite shows is Demon Slayer. The art in this show is exceptional. And the powers exhibited by the main character, Tanjiro, are heavily influenced by fluids.
Fluid Dynamics Art
The image below was generated with the help of physics and computer science! The shapes here are the physical shapes that a fluid velocity field takes when forced along a channel. The colors represent a topology of the fluid’s speed. This topology was generated with the help of machine learning. See more here.