Trevor H Park

Trevor H Park serves as a Clinical Associate Professor in the Department of Statistics at the University of Illinois Urbana-Champaign, with his office located at 113 B Illini Hall, 725 S. Wright St., Champaign, IL 61820. His academic foundation includes a PhD in Operations Research from Cornell University (2003), establishing expertise in advanced statistical methodologies.

Education:

• PhD in Operations Research, Cornell University, 2003

Research Interests:

Dr. Park specializes in Multivariate Exploratory Methods, Covariance Modeling, and Optimization Methods, with significant contributions to Bayesian Lasso techniques. His work bridges theoretical statistics and biomedical applications, particularly in Quantitative Ultrasound where he develops novel approaches for medical diagnostics including fatty liver assessment and microcalcification detection. His fingerprint analysis reveals strong emphasis on Penalized Likelihood, Principal Components, and Least Absolute Shrinkage methods.

Publication trends (2018-2024) demonstrate consistent focus on ultrasound-based medical diagnostics, with 80% of recent work published in Ultrasound in Medicine and Biology. Key patterns include statistical modeling for liver disease characterization (3 articles), advanced beamforming techniques for cancer detection (1 article), and spatial epidemiological modeling (1 article). His research consistently integrates machine learning with traditional statistical methods for biomedical problem-solving.

Scientific Awards:

• No specific awards documented in available sources

Advising and Collaborations:

Dr. Park maintains active research collaborations with biomedical experts including Miller and Oelze, focusing on ultrasound technology development. While formal student advisees aren't listed in current records, his work involves graduate-level research teams in medical imaging projects. His grant activities appear centered on interdisciplinary biomedical engineering initiatives with clinical applications.

Laboratory Affiliations:

He participates in ultrasound research teams at UIUC that integrate statistical methodology development with biomedical engineering, particularly in quantitative ultrasound applications for liver disease and breast cancer detection. These collaborations bridge the Statistics Department with medical physics and clinical research units.