Hanchao Zhang

About Me

I’m a Biostatistics Ph.D. candidate at New York University’s Grossman School of Medicine, working under the mentorship of Prof. Thaddeus Tarpey. My research involves developing statistical models that cater to high-dimensional complex data, such as functional and imaging data.

In the summer of 2022, I had the opportunity to work as a Data Scientist Intern at Google, where I applied my statistical skills to real-world problems. Prior to joining the Ph.D. program, I completed my master’s degree in Biostatistics and Data Science from Cornell University advised by Prof. Iván Díaz, and my bachelor’s degree in International Finance from Capital University of Economics and Business.

Outside of academia, I began my journey as a professional swimmer at the age of 5 and went on to achieve several regional and national championships. I’m also passionate about Chinese calligraphy, and my artwork has been exhibited in top galleries and museums including the National Art Museum of China (Beijing). In addition, I am also interested in oil painting, and aeromodelling.

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

Awards

[May. 2023] MacCracken Awards for outstanding research and activities

Publications and Projects

arXiv

K-Tensors: Clustering Positive Semi-Definite Matrices

Hanchao Zhang, Thaddeus Tarpey

arXiv (arXiv), Jun. 2023.

Website PDF GitHub Package BibTeX arXiv.org
AHI

Open Case Studies

Stephanie Hicks, Leah Jager, Margaret Taub, Carrie Wright, John Muschelli, Lyla Atta, Michael Breshock, Qier Meng, Alexandra Stephens, Hanchao Zhang, and etc.

the Johns Hopkins University, and Bloomberg American Health Initiative.

Website Project Page GitHub Contact

Talks

TTHS

K-Tensors: Clustering Postive Semi-Definite Matrices

Hanchao Zhang, Thaddeus Tarpey

Thomas R. Ten Have Symposium (TTHS), Harvard University, 2023, Cambridge, MA.

Poster Code Package Program Poster Presentation

ENAR

Clustering Positive Semi-Definite Matrices: A Metric Learning Approach

Hanchao Zhang, Thaddeus Tarpey

the International Biometric Society Eastern North American Region (ENAR), 2023, Nashville, TN.

Slides Code Website Invited Talk

FDAWG

Functional Data Clustering and Generated Effect Modifier on Functional and Penalized Functional Regression

Hanchao Zhang, Thaddeus Tarpey

the Functional Data Analysis Working Group (FDAWG), Columbia University, 2022, New York, NY.

Slides Code Website Invited Talk

JSM

Optimal Transformations of High-Dimensional Functional Data for Clustering Methods

Hanchao Zhang, Thaddeus Tarpey

the Joint Statistical Meeting (JSM), 2022, Washington, D.C.

Slides Code Website Invited Talk

JSM

Optimal Linear Transformations of Functional Data for Clustering Methods

Hanchao Zhang, Thaddeus Tarpey

the Joint Statistical Meeting (JSM), 2021, Online.

Slides Code Website Invited Talk

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.

Services

Journal Reviewers

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