seminars:datasci:2023f_2026s
Table of Contents
Fall 2023 -- Spring 2026
Spring 2026
- February 10, 2026
Speaker: Dr. Yizeng Li (Department of Biomedical Engineering at Binghamton University)
Topic: Multiphase Continuum Models for Cell Migration.
Abstract
- April 14, 2026
Speaker: Dr. Yang Feng (New York University)
Topic: Transfer and Multi-task Learning: Statistical Insights for Modern Data Challenges.
Abstract
- April 21, 2026
Speaker: Dr. Yiqun T. Chen (Johns Hopkins University)
Topic: AI for (Bio)statistics and (Bio)statistics for AI.
Abstract
- April 28, 2026
Speaker: Joyce Zhou (Cornell University)
Topic: Using Natural Language to Steer Recommendation.
Abstract
- May 5, 2026
Speaker: Dr. Jun Yan (University of Connecticut)
Topic: Joint Observation-Constrained Climate Projections for Spatial Fields Using Hierarchical Emergent Constraints.
Abstract
Fall 2025
- September 9, 2025
Speaker: Dr. Nancy Guo (School of Computing at Binghamton University)
Topic: AI-empowered precision medicine.
Abstract
- October 21, 2025
Speaker: Dr. Fei Xue (Purdue University)
Topic: Statistical Methods for Mobile Health Data.
Abstract
- October 28, 2025
Speaker: Dr. Yufeng Liu (University of Michigan)
Topic: Low-Rank Online Dynamic Assortment with Dual Contextual Information.
Abstract
- November 18, 2025
Speaker: Dr. Bingxin Zhao (University of Pennsylvania)
Topic: Resampling-based pseudo-training in genomic predictions.
Abstract
Spring 2025
- February 25, 2025
Speaker: Dr. Zhaohan Xi (School of Computing at Binghamton University)
Topic: From Text to Impact: Large Language Models as Responsible Cross-Disciplinary Copilots.
Abstract
- March 18, 2025
Speaker: Dr. Kun Chen (University of Connecticut)
Topic: Hybrid and Integrative Learning for Rare Event Modeling with EHR Data.
Abstract
- April 8, 2025
Speaker: Dr. Lingzhou Xue (Pennsylvania State University)
Topic: Federated On-Policy Reinforcement Learning.
Abstract
- April 15, 2025
Speaker: Dr. Min Xu (Rutgers University - New Brunswick)
Topic: Optimal Convex M-Estimation via Score Matching.
Abstract
Fall 2024
- October 15, 2024
Speaker: Dr. Yang Ning (Cornell University)
Topic: Estimation and Inference in Multivariate Response Regression with Hidden Variables.
Abstract
- October 22, 2024
Speaker: Dr. JoonHwan Cho (Department of Economics at Binghamton University)
Topic: Testing for exogenous participation in ascending auction with unobserved heterogeneity.
Abstract
- November 5, 2024
CANCELLED AND POSTPONED
Speaker: Dr. Yunlong Feng (SUNY Albany)
Topic: Understanding robust loss functions in machine learning.
Abstract
- November 12, 2024
Speaker: Ben Jones
Topic: An Integrated Experimental and Modeling Approach to Design Rotating Algae Biofilm Reactors (RABRs) via Optimizing Algae Biofilm Productivity, Nutrient Recovery, and Energy Efficiency.
Abstract
- December 3, 2024
Speaker: Dr. Yingxue Zhang (School of Computing at Binghamton University)
Topic: Leveraging Unlabeled Data in Offline Reinforcement Learning.
Abstract
Spring 2024
- January 23, 2024
Speaker: Yili Zhang (MathWorks)
Topic: Low-Code Machine Learning in SIMULINK & MATLAB APPS.
Abstract
- March 26, 2024
Speaker: Dr. Zeyu Ding (Department of Computer Science at Binghamton University)
Topic: Differential Privacy in Practice: How the US Government Protects Your Sensitive Information in the 2020 Census.
Abstract
Fall 2023
- September 26, 2023
Speaker: Dr. Marianthi Markatou (SUNY University at Buffalo)
Topic: Distances and their role in statistical inference.
Abstract
- October 3, 2023
Speaker: Dr. HaiYing Wang (University of Connecticut)
Topic: Rare Events Data and Maximum Sampled Conditional Likelihood.
Abstract
- October 10, 2023
Speaker: Dr. Yiming Ying (SUNY University at Albany)
Topic: Interplay between Generalization and Optimization via Algorithmic Stability.
Abstract
- October 17, 2023
Speaker: Dr. Peter D. Hoff (Duke University)
Topic: Core Shrinkage Covariance Estimation for Matrix-variate Data.
Abstract
- October 24, 2023
Speaker: Dr. Luis Carvalho (Boston University)
Topic: Deviance Matrix Factorization.
Abstract
- October 31, 2023
Speaker: Dr. Ruiqi Liu (Texas Tech University)
Topic: Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models.
Abstract
- November 14, 2023
Speaker: Dr. Jiguo Cao (Simon Fraser University)
Topic: Machine Learning for Functional Data.
Abstract
- November 28, 2023
Speaker: Dr. Li Zhang (University of California San Francisco)
Topic: NAIR Software: Unlocking the Immune System's Secrets by Network Analysis and Advanced Machine Learning.
Abstract
- December 5, 2023
Speaker: Dr. Xuexia Wang (Florida International University)
Topic: Genetic Association Test and Risk Prediction Modeling for Cardiomyopathy in Cancer Survivors.
Abstract
seminars/datasci/2023f_2026s.txt · Last modified: by xqiao
