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seminars:datasci:2023f_2026s

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

  • 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 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