About Me
Growing up, my family and I lived in Korea, Taiwan, and India before settling down in Portland, Oregon the
summer before I started high school. In 2018, I completed my Bachelor's degree at Oregon State University with a
major in mechanical engineering and a minor in mathematics.
I am now a PhD candidate (5th year) at the University of Michigan pursuing a joint doctorate in Mechanical
Engineering and Scientific Computing. I plan to defend my dissertation in August 2023.
My research interests focus on developing Bayesian uncertainty quantification methods in deep learning models
and applying these methods on a variety of health and safety applications. Please see my "Research and
Publications" section or my CV for more details!
I plan to pursue a research-oriented position as a data scientist / machine learning engineer, particularly in
domains focusing on the ethical and responsible use of AI/ML in health, healthcare, and safety.
Research and Publications
Balance Training Assessment
Projected Variational Bayesian Inference for Convolutional Neural Networks in Precision Health Balance
Training
Jeremiah Hauth, Jamie Ferris, Steven Teguhlaksana, Christopher DiCesare, Kathleen H. Sienko, and Xun Huan
USNCCM conference, July 2021, Presentation
Variational Bayesian Inference for Convolutional Neural Networks in Precision Health Balance Training
Jeremiah Hauth, Steven Teguhlaksana, Jamie Ferris, Christopher DiCesare, Kathleen H. Sienko, and Xun Huan
SIAM CSE conference, March 2021, Presentation
Loss of Balance
Automated Loss-of-Balance Event Identification in Older Adults at Risk of Falls during Real-World
Walking Using Wearable Inertial Measurement Units
Jeremiah Hauth, Safa Jabri, Fahad Kamran, Eyoel W. Feleke, Kaleab Nigusie, Lauro V. Ojeda, Shirley
Handelzalts, Linda Nyquist, Neil B. Alexander, Xun Huan, Jenna Wiens, Kathleen H. Sienko
Sensors 2021, July 2021
https://doi.org/10.3390/s21144661
Bayesian Tumor Segmentation
Lowering the Computational Barrier: Partially Bayesian Neural Networks for Transparency in Medical
Imaging AI
Snehal Prabhudesai, Jeremiah Hauth*, Dingkun Guo, Arvind Rao, Nikola Banovic, Xun Huan.
Frontiers in Computer Science. Volume 5. No 2 (2023), pp 1071174. *co-first author.
https://doi.org/10.3389/fcomp.2023.1071174
Helicopter Icing Diagnostics
A Rotorcraft In-flight Ice Detection Framework Using Computational Aeroacoustics and Bayesian Neural
Networks
Myles Morelli, Jeremiah Hauth*, Alberto Guardone, Xun Huan, Beckett Zhou.
Structural and Multidisciplinary Optimization. In review /accepted with
revisions. (2023). *co-first author.
Real-Time In-Flight Ice Detection System via Computational Aeroacoustics and Bayesian Neural Networks
Beckett Y. Zhou, Nicolas R. Gauger, Myles Morelli, Alberto Guardone, Jeremiah Hauth, and Xun Huan
AIAA Scitech. January 2020. Presentation.
Correlation Effects in Bayesian Neural Networks for Computational Aeroacoustics Ice Detection
Jeremiah Hauth, Xun Huan, Beckett Y. Zhou, Nicolas R. Gauger, Myles Morelli, and Alberto Guardone
AIAA Scitech. January 2020. Presentation.