Canlin Zhang
About Canlin Zhang
Canlin Zhang is an AI Scientist with a strong background in clinical informatics and biomedical natural language processing. He has worked at various institutions, including UC San Diego and Circulo Health, and currently contributes to advanced research at Sorenson Communications.
Work at Sorenson
Canlin Zhang has been employed at Sorenson Communications as an AI Scientist since 2022. In this role, Zhang focuses on developing advanced models for sign language generation and recognition. The work integrates deep learning techniques from both natural language processing and computer vision, contributing to the enhancement of communication technologies.
Previous Experience at UC San Diego
Prior to joining Sorenson, Canlin Zhang worked as a Postdoctoral Scholar at UC San Diego from 2020 to 2021. This position allowed Zhang to further explore research in clinical informatics and biomedical natural language processing, contributing to the academic community through innovative projects.
Experience at Circulo Health
Canlin Zhang served as a Machine Learning Engineer at Circulo Health for nine months in 2022. This role involved applying machine learning techniques to healthcare data, focusing on improving clinical outcomes through data-driven solutions.
Education and Expertise
Canlin Zhang holds a Doctor of Philosophy (PhD) in Biomathematics, Natural Language Processing, and Bioinformatics from Florida State University, completed in 2020. Zhang also earned a Master's Degree in Pure Mathematics from the University of Waterloo, and a Bachelor's Degree in Mathematics from Shandong University. This educational background supports extensive expertise in mathematical modeling, analysis, numerical methods, and statistics.
Research Publications and Conferences
Canlin Zhang has published research in several top bioinformatics journals, including Bioinformatics and Biomedicine, BMC Bioinformatics, and Frontiers Genetics. Zhang has also contributed to various conferences ranked by CS-ranking, with multiple presentations at the International Joint Conference on Neural Networks (IJCNN) in 2019, 2020, 2022, and 2024.