Daniel Cheng
About Daniel Cheng
Daniel Cheng is a Machine Learning Engineer with a background in speech science and data science. He has worked in various roles related to data analysis and natural language processing, contributing to projects in healthcare and linguistics.
Current Role at Cohere Health
Daniel Cheng currently serves as a Machine Learning Engineer at Cohere Health, a position he has held since 2022. In this role, he is part of the Feature Extraction team, where he focuses on natural language processing (NLP) applications. His responsibilities include developing and enhancing feature extraction models that are specifically tailored for clinical and medical documents. This work is critical in improving the processing and analysis of healthcare data.
Previous Experience in Data Science and NLP
Before joining Cohere Health, Daniel Cheng gained diverse experience in data science and natural language processing. He worked as a Data Science & Machine Learning Engineer at Radius Global for nine months in 2021. Additionally, he held roles as a Data Analyst at CoFoundersLab and as a Data Science Intern at Prospect 33, where he contributed to various data-driven projects. His internship as an NLP Engineer Intern at SEASALT.AI further solidified his expertise in the field.
Educational Background in Data Science and Speech Science
Daniel Cheng completed his Master's degree in Data Science with a focus on Computational Linguistics at The University of British Columbia from 2020 to 2021. Prior to this, he earned a Bachelor's degree in Speech Science from the same institution, studying from 2015 to 2020. His educational background combines knowledge in linguistics and data science, equipping him with a unique skill set applicable to his current work in machine learning and NLP.
Experience as a Speech Language Pathologist Assistant
Daniel Cheng began his career as a Speech Language Pathologist Assistant at Advantage Speech-Language Pathology Ltd. from 2017 to 2020 in Richmond, BC. During this three-year period, he supported speech-language pathologists in delivering care to clients, gaining valuable experience in the healthcare field. This role provided him with insights into communication disorders, which complements his later work in data science and NLP.
Research Assistant Role at The University of British Columbia
From 2018 to 2020, Daniel Cheng worked as a Research Assistant in the Linguistics Language and Learning Lab at The University of British Columbia. In this role, he contributed to research projects focused on language and learning, further developing his analytical skills and understanding of linguistic principles. This experience laid the groundwork for his subsequent studies and career in data science and machine learning.