David Yang

David Yang is currently working as the Co-Founder of ML Estimation since February 2021. Prior to that, they worked as a Graduate Student Research Assistant at the University of Toronto from September 2019 to August 2022. In this role, they conducted research on algorithmic bias and designed web-based surveys for assessing contentious clothing attributes. David also collected labeling data for clothing attributes using Amazon Mechanical Turk. From March 2021 to September 2021, David was a Member at Next AI. Additionally, they worked as a Machine Learning Researcher at bridge7 Oncology from May 2020 to January 2021, where they developed a meta-learning approach for cancer therapy benchmarking and investigated data representation methods using neural networks and clustering. Before that, David served as a Software Engineer Intern at Intel Corporation from June 2019 to August 2019, where they facilitated continuous integration and development of software. As an Engineering Intern at AMD from May 2017 to August 2018, they automated data pipelines, eliminated manual wafer selection, and expedited the adaptive voltage frequency scaling process. In 2016, they were a Summer Research Student at the University of Toronto, where they designed a user-friendly GUI and created a personal website. David also worked as an English Tutor from February 2012 to March 2014 while being self-employed.

David Yang completed their Bachelor's degree in Electrical and Electronics Engineering at the University of Toronto from 2014 to 2019. David then pursued further education at the same institution and obtained a Master's degree in Applied Computing (MScAc) with a focus on Computer Science from 2019 to 2021. Additionally, they have obtained a certification in Unit 1 Emergency First Aid from Highfield Qualifications, although the month and year of completion are not specified.