Imperial College London
Master in Medical Robotics
YULIN WANG
Hi, welcome to my CV/Resume Page! Please click the link to view my full CV or simply just see below. ​
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I am eligible to apply for a PSW (Post-Study Work) visa after I graduate, and this visa allows me to work in the UK without needing a sponsorship for two years (until 2024) whereas after which I might need a sponsorship.
WORK EXPERIENCE
May 2020 - July 2020Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Software Test Engineer, Mindray
Tested the software of Ultrasound Doppler System and reported the bugs to different teams including the medical imaging team, the hardware team and the control team
Manually applied image processing on the ultrasound images to validate the results automatically generated from the software.
Used different Ultrasound Doppler probes to obtain images from different human organs.
Tested 1000 use cases where each use cases indicates a clinical scenario.
June 2019 - August 2019Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Research Assistant, Suzhou Institute of Biomedical Engineering and Technology
Researched state-of-the-art medical devices for non-invasive intracranial pressure measurement.
Used Solid Edge to model the device and applied finite element analysis (FEA) to calculate the strain and stress.
Demonstrated great time management and team working
January 2020 - March 2020Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Teaching Assistant, The University of Edinburgh
Prepared tutorials and lecture notes beforehand, and work with other TAs to give tutorial classes.
Demonstrated the solutions of tutorial questions and mock exam questions.
ACADEMIC EXPERIENCE
Oct 2020 - Sep 2021
MASTER OF RESEARCH IN MEDICAL ROBOTICSÂ Â Â Â Â Â Â Â Â Â Â Â Â Â IMPERIAL COLLEGE LONDON
Predicted Grade - Distinction
Main activities
Course representative
Machine Learning (Bayesian Classifier in MATLAB)
Robotics end-effector trajectory control in MATLAB
Sep 2018 - Aug 2020
BENG (HONS) IN MECHANICAL ENGINEERINGÂ Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â UNIVERSITY OF EDINBURGH
First Class (Obtained)
Main activities:
Machine Learning using Python, TensorFlow, Keras and Scikit-learn for prediction carbon recapture.
ROS system - used Python, Gazebo and RViz in Linux for robotic path planning.
Mechanical design of robotic end-effector using SolidWorks, Autodesk Inventor and SolidEdge.
£2500 scholarship for academic awards in the third and fourth year.
Sep 2016 - Aug 2018
BENG IN MECHANICALÂ DESIGN & AUTOMATIONÂ Â Â Â Â DALIAN UNIVERSITY OF TECHNOLOGY
88.6% on average (GPA - 3.84/4.0)
Main activities:
Mechanical Design and Engineering Drawing
Introduction to MATLAB
Control and Instrumentation
SKILLS
TECHNICAL SKILLS
Mechanical Design - Autodesk Inventor (proficient), SolidWorks (intermediate), SolidEdge (proficient)
Programming - MATLAB (proficient), Python(intermediate)
Machine Learning
Algorithms - Bayesian Network, First-order Markov Chain, Hidden Markov Model.
Packages - TensorFlow, Keras, matplotlib, scikit-learn, pandas, statistics and machine learning (MATLAB), signal processing (MATLAB)
​Robotics path planning - ROS (intermediate), MATLAB Robotics Toolbox (intermediate), Gazebo and Rviz in Linux​​
PEOPLE SKILLS
Strong adaptability and teamworking skills
Effective communication and good listener
Hardworking and passionate about new skills
Motivation and target-driven
Detail focused