Yu (Adam) Ding bio photo

Yu (Adam) Ding

Specialized in statistical machine learning

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Simpson’s Paradox in the association of subclonal mutations with cancer prognosis under immunotherapy
UCLA CGSI 2026, UCLA, Oral presentation

Scalable subclonal reconstruction of cancer cells via penalized likelihood
National Cancer Institute SSACB 2026, National Institutes of Health. Poster Presentation

Boundary-Specific Remodeling Defines Divergent TLS Maturation in Colorectal Cancer
James P. Allison Institute 3rd Annual Scientific Symposium 2025, MD Anderson Cancer Center. Poster Presentation.

Deep Learning–Based Spatial Analysis of TLSs in CRC Reveals Stromal Barriers Predicting Impaired Cell–Cell Communication
James P. Allison Institute 3rd Annual Scientific Symposium 2025, MD Anderson Cancer Center. Poster Presentation.

Federated function-on-function regression with an efficient gradient boosting algorithm for privacy-preserving telemedicine
Mayo Clinic Arizona, July 1, 2024. Invited talk[Slides].

Federated function-on-function regression with an efficient gradient boosting algorithm for privacy-preserving telemedicine
IISE Montreal, Canada. May 18, 2024. Conference Presentation[Video][Slides].