David Chang

David Chang

Lecturer @ Yale University

About David Chang

David Chang is a lecturer at Yale University, specializing in natural language processing and knowledge representation learning in the biomedical field. He holds a Bachelor of Arts in Mathematics from Amherst College and a PhD in Computational Biology and Bioinformatics from Yale University.

Work at Yale University

David Chang has been serving as a Lecturer at Yale University since 2021. In this role, he contributes to the academic community by teaching and mentoring students in subjects related to computational biology and bioinformatics. His position at Yale follows his extensive education and research experience in the biomedical field, particularly focusing on natural language processing and knowledge representation learning.

Education and Expertise

David Chang completed his Bachelor of Arts in Mathematics at Amherst College from 2012 to 2016. He then pursued advanced studies at Yale University, where he earned a Doctor of Philosophy (PhD) in Computational Biology and Bioinformatics from 2016 to 2021. His academic background equips him with a strong foundation in mathematics and computational techniques, which he applies in his research and teaching.

Background in Biomedical Data Science

David Chang has a background in knowledge representation learning, particularly in healthcare applications. His research focuses on natural language processing within the biomedical field, which allows for the extraction and interpretation of complex data in healthcare settings. This expertise is crucial for advancing the understanding of biomedical data and improving healthcare outcomes.

Professional Experience at nference

David Chang worked at nference in various roles, including Lead Biomedical Data Scientist and Data Science Lead for Product Development. His tenure at nference lasted from 2021 to 2022, where he contributed to projects that leverage data science to enhance biomedical research. His experience at nference provided him with practical insights into the application of data science in the healthcare sector.

Internship Experience at IBM

In 2020, David Chang completed a PhD Research Internship at IBM for three months. This experience took place in Yorktown Heights, New York, where he engaged in research that aligned with his academic focus. The internship allowed him to apply his knowledge in a corporate research environment, further enhancing his skills in data science and computational biology.

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