Yuan Wei, P.Eng., M.A.Sc. Email & Phone Number

Cambridge, On, Ca

• Learned fundamentals of machine learning, including deep learning and reinforcement learning, using Python and Tensorflow 2• Completed classification projects, including spam and image classifiers• Accomplished OpenAI Gym reinforcement learning projects, including Frozen Lake, Cartpole, and Lunar Lander

Toronto, On

• Established leadership role as assistant mechanical lead in the pursuit and award of a new build P3 hospital project• Led various hospital projects by providing project management and mechanical/HVAC design expertise• Coordinated internal and external team members, including clients, architects, engineers, and contractors• Developed proficiency in Revit and AutoCAD for project design

Toronto, Canada Area

• Developed an embedded AgPDMS microfluidic device to perform impedance spectroscopy of single cells• Performed computer modeling using COMSOL • Fabricated microfluidic devices using standard lithography techniques• Utilized microscope and impedance spectroscope to collect data• Analysed data using Labview, MATLAB, and Excel• Published 3 papers, including one first author

Kingston, Ontario, Canada

Department of Physics, Engineering Physics, & Astronomy• Worked on various projects related to cryogenic dark matter search (CDMS) detector testing• Helped troubleshoot and repair the dilution refrigerator used for detector experiments• Characterized mu-metal magnetic shields• Used MATLAB to analyse charge pulse data collected from a custom detector experiment

Kingston, Ontario, Canada

Centre for Neuroscience Studies• Studied the properties and behaviour of motoneurons using computational methods• Used MATLAB to create distributions of synapses and voltage-dependant channels on neuron models• Ran simulations of these neuron models with Saber software to determine how their voltage and current outputs depended on the synapse and voltage-dependant channel distributions• Applied numerical methods with MATLAB to create masks (the cell membranes) for neuron models

Kingston, Ontario, Canada

Department of Chemistry• Investigated the aging properties of asphalt samples from various trials and paving contracts in Ontario• Extracted and recovered asphalt samples by dissolving in tetrahydrofuran and distilling with Rotovap• Used 1H-NMR, 13C-NMR, and 2D HSQC NMR sequences to analyze chemical moieties in samples

Master Of Applied Science (M.A.Sc.), Mechanical Engineering, Microfluidics, Gpa: 4.0 / 4.0

Bachelor Of Science (B.Sc.), Engineering Physics, Materials Option, Gpa: 4.1 / 4.3

Activities and Societies: Queen’s Solar Design Team - Electrical Team, Queen’s Engineering Frosh Week - Engineering Orientation Leader.