Hi, I'm Julian (Long Hin) Fong.
I am an Engineer and enjoy working with others to find creative solutions to difficult problems.
Julian Fong has a Bachelor of Applied Science - Engineering Physics from the University of British Columbia and a Masters of Biomedical Engineering from Imperial College London.
He has created tools and automated systems for researchers and radiologists at the BC Cancer Research Centre. At the e-bike startup Superpedestrian, he contributed to the mechanical and electrical design throughout the product development, testing, and manufacturing.
Most recently, Julian worked as a Principal Mechatronics and Systems Engineer at Cambridge Consultants. where he helping clients create prototypes in cell therapy and surgical robotics.
Experiences
Titanoboa - eatART
eatArt resurrected a giant snake in aluminium and hydraulics. I was a major contributor to the code used to control the snake and was part of the crew at many public events. Writing algorithms to mimic snake-like movement was an interesting challenge.
UBC AeroDesign - HeavyLift
My classmates and I entered the SAE AeroDesign Competition. We designed and built a remote-controlled plane and competed with other universities to lift the heaviest payload. Based on performance, technical merit and oral presentation, we came in 3rd out of 37 teams.
St.Paul's Hospital
I worked on projects creating research tools and modifying equipment. A microfluidics chip to visually sort fungal spores and cells was made and programmed. A blood analyser was modified to add new blood platelet testing. It was a pleasure to collaborate with chemists, nurses, biologists and physicists.
BC Cancer Agency
Asdf fgh.
Superpedestrian
At Superpedestrian, an e-bike startup in Boston, I helped develop the mechanics and electronics from prototype to product, coordinating teams, training interns, and aiding in designing testing and manufacturing.
RoboGals - London
I volunteered with RoboGals, helping to run workshops with school classes. We encouraged children's interest in engineering through play, building and programming Lego robotics.
Imperial College
During my master's degree, I worked on a project using ultrasound and machine learning to track microbubbles and map blood vasculature. I presented "Super-Resolution Ultrasound Image Filtering with Machine-Learning to Reduce the Localization Error" at the IEEE International Ultrasound Symposium 2019.
Cambridge Consultants
I was a Principal Mechatronics and Systems Engineer at Cambridge Consultants. We helped clients develop prototypes and solve engineering challenges ranging from surgical robotics and chemical sensor to interative toys.
