Yiming Tian

About Me

I am a graduate student currently enrolled in the Master of Information Science program at School of Computing and Information in University of Pittsburgh. My primary focus and interest lie in the dynamic field of data. Proficient in data analysis and interpretation, I am eager to apply my skills in practical scenarios. I am actively seeking opportunities to contribute to real-world projects, leveraging my expertise to address complex challenges within the information science domain.

Research Interests

• Manifold Learning: positive semi-definite manifolds learning
• Machine Learning: fairness AI, penalization and augmentation methods
• Functional Data Analysis: functional regression, and clustering methods
• High-Dimensional Statistics: matrix-valued regression and clustering, positive semi-definite matrices estimations

Publications and Projects

Talks

Collaboration

• [Feb. 2023] Low muscle mass is associated with a higher risk of all–cause and cardiovascular disease–specific mortality in cancer survivors has been accepted by Nutrition.
• [Aug. 2021] Validation of EHR medication fill data obtained through electronic linkage with pharmacies has been accepted by the Journal of Managed Care & Specialty Pharmacy.
• [Jan. 2021] Quantitative evaluation of rejuvenation treatment of nasolabial fold wrinkles by regression model and 3D photography has been accepted by the Journal of Cosmetic Dermatology.

Awards

• [May. 2023] MacCracken Awards

Services

Journal Reviewers

• Frontiers in Surgery
• Journal of Managed Care & Specialty Pharmacy

Membership & Activities

• [2019-present] Member of the American Statistical Association
• [2019-present] Member of the International Biometric Society
• [2021-2022] Chair of the Chinese Student and Scholar Association (CSSA) at Grossman School of Medicine, New York University