09/03/2026
Dr. Jaesung Lee, an Assistant Professor in the Wm Michael Barnes '64 Department of Industrial & Systems Engineering at Texas A&M University, has recently received three NIH and NSF grants as Principal Investigator, totaling approximately $1.94 million. The awards include a single-PI NIH/NIAMS R01 awarded through a joint NSF/NIH Smart Health program, an NSF FDT-BioTech award, and an NIH/NIDCR R21.
These projects establish an integrated research portfolio at the intersection of AI, engineering systems, digital twins, and biomedical prediction and evaluation, with methodological contributions in statistical and physics-informed machine learning, inverse problems, and trustworthy predictive modeling.
In the NIAMS R01, Dr. Lee serves as sole Principal Investigator and leads a multidisciplinary team with two co-investigators to establish digital twin systems for posture-aware, personalized prediction of spine fracture risk in older adults with osteoporosis.
The NSF FDT-BioTech project establishes a trustworthy preclinical digital twin framework for evaluating All-on-4 implant-prosthesis configurations and embeds verification, validation, uncertainty quantification, and robustness criteria to determine when layout comparisons are reliable.
The NIH/NIDCR R21 establishes patient-specific approaches for understanding dental bone properties and predicting how bone responds during dental surgical procedures. Across these projects, Dr. Lee’s work uses imaging data and experimental validation to transform limited biomedical data into reliable predictive models that can inform individualized treatment planning and surgical evaluation.
Dr. Lee's broader research also extends to statistical machine learning for advanced manufacturing, including an ongoing LIFT/DoW AMC project with the U.S. Department of War focused on data-driven virtual qualification and certification.
More about the project: https://lnkd.in/grCtAVTa
Learn more about Dr. Lee: https://lnkd.in/gx7v2xuG
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