Anne Jing

University of Toronto - Engineering Science 

 
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ABOUT ME

Anne Jing is a 19-year-old Engineering Science student from the University of Toronto. She is passionate about research, engineering design and entrepreneurship in robotics, biomedical engineering, and machine intelligence. In addition, she has experience in wet chemistry and optical physics. 

By constantly engaging in urgent global issues, she continues to develop low-cost and sustainable solutions. Her work in innovation began locally with science fair projects ranging from creating carbon quantum dots to assistive aids for patients with Parkinson's disease. Her internationally-recognized research and innovations have been showcased, published, and awarded top prizes at national and international science fairs. 

 

Currently, she continues her work through various clubs and associations at the University of Toronto. From engineering design to business to education, Anne strives to bridge the gap between theory and application through her work. 

Outside of academia, she is pursuing other passions in business management, sports, and leadership. She remains fascinated about STEM and is optimistic about her future endeavours. 

PROJECTS 

- Here's what I've done so far -
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Project ATTIS

An assistive aid for Parkinson's patients using vibrational white noise to reduce resting tremors. 

Project ATTIS 
A wearable assistive aid for people suffering from Parkinson's Disease and other essential tremors. 
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Synthesizing Quantum Dots 

Created an novel method on synthesizing carbon quantum dots using gelatin. 

The Hydrothermal Synthesis of Quantum Dots Using Gelatin
Created a novel method in synthesizing carbon quantum dots.
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Produced a fully automated, mostly 3D printed and DFM & DFA focused mechanical respirator using pressure differentials and a touchscreen GUI for emergency use.

SF INNOVATIONS VENTILATOR
SF INNOVATIONS VENTILATOR
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SF INNOVATIONS VENTILATOR
SF Innovations Ventilator 
Designed an emergency ventilator as a response for the COVID-19 pandemic.
Malarious Countries and COVID-19 Cases

Predicted the top factors that contributed to the COVID-19 pandemic transmissions. Explored the negative correlation between malarious countries and COVID-19 cases.

An Investigation into the Relationship Between Malarious Countries and COVID-19 Cases
Created a machine learning algorithm to investigate COVID-19 and malaria.
 
 
 

The FeildNotes

Welcome to my blog! I take real-world applications in science and technology and explain the phenomena using simple theories and terms.