Caleb Huang
About Caleb Huang
Caleb Huang is a Postbaccalaureate IRTA Research Fellow at the National Institutes of Health and has extensive experience as a research assistant at UCLA and Kansas State University. He specializes in using Freesurfer software for MRI data processing and mathematically modeling brain network connectivity in neurodegenerative diseases.
Work at National Institutes of Health
Caleb Huang has been serving as a Postbaccalaureate IRTA Research Fellow at the National Institutes of Health since 2017. In this role, he conducts research in the Washington D.C. Metro Area, focusing on neurodegenerative diseases. His work involves utilizing advanced techniques and methodologies to contribute to the understanding of brain connectivity and its changes in various conditions.
Current Research Assistant Roles
Caleb Huang has held multiple positions as a Research Assistant. He has been working at UCLA since 2014, where he has accumulated ten years of experience. Additionally, he has been involved with Kansas State University since 2016, contributing to research efforts for eight years. His responsibilities include conducting motor ratings for patients and operating TMS and MRI equipment.
Education and Expertise
Caleb Huang earned a Bachelor of Science (B.S.) in Biophysics and Applied Mathematics from the University of California, Los Angeles, studying from 2012 to 2016. He also participated in a study abroad program at the University of Cape Town, where he focused on Physics. His educational background provides a strong foundation for his research in neurodegenerative diseases and brain connectivity.
Research Methodologies and Tools
In his research, Caleb Huang utilizes Freesurfer software for processing MRI data. He is involved in mathematically modeling changes in brain network connectivity using graph theory, particularly for patients with neurodegenerative diseases such as Primary Lateral Sclerosis (PLS), Amyotrophic Lateral Sclerosis (ALS), and Frontotemporal Dementia (FTD).
Achievements and Recognition
Caleb Huang received the Outstanding Poster Award for his presentation titled 'Structural Reorganization in Primary Lateral Sclerosis: A Graph Theory Approach' at the 2017 Postbac Poster Day. This recognition highlights his contributions to the field of neurodegenerative disease research and his ability to effectively communicate complex findings.