Post-doc opening on machine learning and general data science. Deadline: May 15. Welcome to apply or retweet! Thanks! nyupublichealth NYUGPHBiostats NYU Center for Data Science Statistical Learning & Data Science #DataScience #MachineLearning apply.interfolio.com/104510

🎉 Thrilled and honored to be elected as a 2023 IMS Fellow! A heartfelt thank you to my incredible mentors, dedicated collaborators, and inspiring students for their unwavering support on this journey. Your collective wisdom has made this achievement possible. 🙏

1000 day streak learning Spanish on Duolingo #1000days #streak #spanish #espanol

A Patterns, a Cell Press journal paper by lijia wang Xin Tong discovered the impacts of statistics on scientific disciplines over the recent decades and provided a dataset (zenodo.org/record/6565329) for citation network analysis. cell.com/patterns/fullt… #Statistics #DataScience #ScienceImpact

New work accepted by JASA NYUGPHBiostats nyupublichealth NYU Center for Data Science PCABM: Pairwise Covariates-Adjusted Block Model for Community Detection tandfonline.com/doi/full/10.10…

Oct 26 at 9pm EST, I will host an information session over Zoom on the Ph.D. in Public Health with Biostatistics concentration at NYU. NYUGPHBiostats nyupublichealth NYU Center for Data Science Register Below: nyu.zoom.us/meeting/regist…

New manuscript "Unsupervised Federated Learning: A Federated Gradient EM Algorithm for Heterogeneous Mixture Models with Robustness against Adversarial Attacks" #MachineLearning #DataScience #adversarial #federatedlearning arxiv.org/abs/2310.15330

Learning Spanish for 1234 days! Muchas gracias a Duolingo

🎉 Super excited to share that our paper “Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms” (arxiv.org/abs/2310.15330) was accepted to #ICML2024 nyupublichealth NYUGPHBiostats NYU Center for Data Science

Thrilled to receive the 2024 NYU GPH Teaching Excellence Award. Many thanks to my students for your support and nomination! NYUGPHBiostats nyupublichealth

Sharing a new work on Neyman-Pearson classification problem via cost-sensitive learning. NYUGPHBiostats nyupublichealth NYU Center for Data Science Neyman-Pearson Multi-class Classification via Cost-sensitive Learning: (JASA) tandfonline.com/doi/full/10.10…

CDS-affiliated Professor Yang Feng (Yang Feng (冯阳）) introduced new algorithms that can control different types of errors independently. Published in JASA, the work provides tools for applications like loan default prediction where some mistakes matter more than others.

New paper on causal inference: Design-Based Causal Inference with Missing Outcomes: Missingness Mechanisms, Imputation-Assisted Randomization Tests, and Covariate Adjustment tandfonline.com/doi/full/10.10… NYUGPHBiostats nyupublichealth NYU Center for Data Science NYU Langone Health