Taeho Jo, PhD

Bio

Dr. Jo's research expertise is in the areas of AI and deep learning 
applications for Alzheimer's disease, with focus on multimodal data 
integration including neuroimaging, whole-genome sequencing, proteomics, 
and metabolomics. His current research focuses on developing 
uncertainty-aware deep learning frameworks for early detection and risk 
prediction of Alzheimer's disease. Specifically, Dr. Jo is interested in 
identifying genetic variants associated with Alzheimer's disease using 
transformer-based models on whole-genome sequencing data, and integrating 
multi-omics biomarkers to understand disease progression.

Dr. Jo earned his PhD in Computational Biology from Tokyo Medical and 
Dental University, Japan in 2010, supported by the Japanese Government 
(MEXT) Scholarship. During his doctoral and early postdoctoral training 
at RIKEN, Japan, his research focused on protein structure prediction 
and computational modeling.

In 2013, Dr. Jo moved to the United States for postdoctoral training at 
the University of Missouri and later at the University of Michigan, where 
he expanded his expertise into machine learning and deep learning 
applications for biological data. He joined Indiana University School of 
Medicine in 2018, shifting his research focus to Alzheimer's disease.

Learn more about Dr. Jo's research at the JoLab website.