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--- seminars:datasci:2023f_2026s_do_edit [2026/08/17 20:07] – created xqiao
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-====== Fall 2023 -- Spring 2026 ======
-==== Spring 2026 ====
-   * **February 10, 2026 **\\ //Speaker//: [[https://sites.google.com/binghamton.edu/yizengli/home/|Dr. Yizeng Li]] (Department of Biomedical Engineering at Binghamton University)\\ //Topic//: Multiphase Continuum Models for Cell Migration.\\  [[seminars:datasci:021026|Abstract]]
-   * **April 14, 2026 **\\ //Speaker//: [[https://yangfengstat.github.io/|Dr. Yang Feng]] (New York University)\\ //Topic//: Transfer and Multi-task Learning: Statistical Insights for Modern Data Challenges.\\  [[seminars:datasci:041426|Abstract]]
-   * **April 21, 2026 **\\ //Speaker//: [[https://yiqunchen.github.io/|Dr. Yiqun T. Chen]] (Johns Hopkins University)\\ //Topic//: AI for (Bio)statistics and (Bio)statistics for AI.\\  [[seminars:datasci:042126|Abstract]]
-   * **April 28, 2026 **\\ //Speaker//: [[https://cephcyn.github.io//|Joyce Zhou]] (Cornell University)\\ //Topic//: Using Natural Language to Steer Recommendation.\\  [[seminars:datasci:042826|Abstract]]
-   * **May 5, 2026 **\\ //Speaker//: [[https://statcomp.org/|Dr. Jun Yan]] (University of Connecticut)\\ //Topic//: Joint Observation-Constrained Climate Projections for Spatial Fields Using Hierarchical Emergent Constraints.\\  [[seminars:datasci:050526|Abstract]]
-==== Fall 2025 ====
-   * **September 9, 2025 **\\ //Speaker//: [[https://www.binghamton.edu/computer-science/people/profile.html?id=nguo1|Dr. Nancy Guo]] (School of Computing at Binghamton University)\\ //Topic//: AI-empowered precision medicine.\\  [[seminars:datasci:090925|Abstract]]
-   * **October 21, 2025 **\\ //Speaker//: [[https://feixue-stat.github.io/|Dr. Fei Xue]] (Purdue University)\\ //Topic//: Statistical Methods for Mobile Health Data.\\  [[seminars:datasci:102125|Abstract]]
-   * **October 28, 2025 **\\ //Speaker//: [[https://lsa.umich.edu/stats/people/faculty/yufliu.html|Dr. Yufeng Liu]] (University of Michigan)\\ //Topic//: Low-Rank Online Dynamic Assortment with Dual Contextual Information.\\  [[seminars:datasci:102825|Abstract]]
-   * **November 18, 2025 **\\ //Speaker//: [[https://www.bingxinzhao.com/|Dr. Bingxin Zhao]] (University of Pennsylvania)\\ //Topic//: Resampling-based pseudo-training in genomic predictions.\\  [[seminars:datasci:111825|Abstract]]
-==== Spring 2025 ====
-   * **February 25, 2025 **\\ //Speaker//: [[https://zhaohan-xi.github.io/|Dr. Zhaohan Xi]] (School of Computing at Binghamton University)\\ //Topic//: From Text to Impact: Large Language Models as Responsible Cross-Disciplinary Copilots.\\  [[seminars:datasci:022525|Abstract]]
-   * **March 18, 2025 **\\ //Speaker//: [[https://kun-chen.uconn.edu//|Dr. Kun Chen]] (University of Connecticut)\\ //Topic//: Hybrid and Integrative Learning for Rare Event Modeling with EHR Data.\\  [[seminars:datasci:031825|Abstract]]
-   * **April 8, 2025 **\\ //Speaker//: [[https://lingzhou-xue.github.io///|Dr. Lingzhou Xue]] (Pennsylvania State University)\\ //Topic//: Federated On-Policy Reinforcement Learning.\\  [[seminars:datasci:040825|Abstract]]
-   * **April 15, 2025 **\\ //Speaker//: [[https://sites.google.com/view/minxu/home|Dr. Min Xu]] (Rutgers University - New Brunswick)\\ //Topic//: Optimal Convex M-Estimation via Score Matching.\\  [[seminars:datasci:041525|Abstract]]
-==== Fall 2024 ====
-   * **October 15, 2024 **\\ //Speaker//: [[https://yangning.stat.cornell.edu/|Dr. Yang Ning]] (Cornell University)\\ //Topic//: Estimation and Inference in Multivariate Response Regression with Hidden Variables.\\  [[seminars:datasci:101524|Abstract]]
-   * **October 22, 2024 **\\ //Speaker//: [[https://sites.google.com/view/joonhwancho/|Dr. JoonHwan Cho]] (Department of Economics at Binghamton University)\\ //Topic//: Testing for exogenous participation in ascending auction with unobserved heterogeneity.\\  [[seminars:datasci:102224|Abstract]]
-   * **November 5, 2024 **\\ ** CANCELLED AND POSTPONED ** \\ //Speaker//: [[https://www.albany.edu/~ylfeng/|Dr. Yunlong Feng]]  (SUNY Albany)  \\ //Topic//: Understanding robust loss functions in machine learning.\\  [[seminars:datasci:110524|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.\\  [[seminars:datasci:111224|Abstract]]
-   * **December 3, 2024 **\\ //Speaker//: [[https://yingxuezhang.com//|Dr. Yingxue Zhang]] (School of Computing at Binghamton University)\\ //Topic//: Leveraging Unlabeled Data in Offline Reinforcement Learning.\\  [[seminars:datasci:120324|Abstract]]
-==== Spring 2024 ====
-   * **January 23, 2024 **\\ //Speaker//: Yili Zhang (MathWorks)\\ //Topic//: Low-Code Machine Learning in SIMULINK & MATLAB APPS.\\  [[seminars:datasci:012324|Abstract]]
-   * **March 26, 2024 **\\ //Speaker//: [[https://www.binghamton.edu/computer-science/people/profile.html?id=dding1|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.\\  [[seminars:datasci:032624|Abstract]]
-==== Fall 2023 ====
-   * **September 26, 2023 **\\ //Speaker//: [[https://publichealth.buffalo.edu/biostatistics/faculty-and-staff/faculty-directory/markatou.html|Dr. Marianthi Markatou]] (SUNY University at Buffalo)\\ //Topic//: Distances and their role in statistical inference.\\  [[seminars:datasci:092623|Abstract]]
-   * **October 3, 2023 **\\ //Speaker//: [[https://statistics.uconn.edu/person/haiying-wang/|Dr. HaiYing Wang]] (University of Connecticut)\\ //Topic//: Rare Events Data and Maximum Sampled Conditional Likelihood.\\  [[seminars:datasci:100323|Abstract]]
-   * **October 10, 2023 **\\ //Speaker//: [[https://www.albany.edu/math/faculty/yiming-ying/|Dr. Yiming Ying]] (SUNY University at Albany)\\ //Topic//: Interplay between Generalization and Optimization via Algorithmic Stability.\\  [[seminars:datasci:101023|Abstract]]
-   * **October 17, 2023 **\\ //Speaker//: [[https://scholars.duke.edu/person/pdhoff/|Dr. Peter D. Hoff]] (Duke University)\\ //Topic//: Core Shrinkage Covariance Estimation for Matrix-variate Data.\\  [[seminars:datasci:101723|Abstract]]
-   * **October 24, 2023 **\\ //Speaker//: [[https://math.bu.edu/people/lecarval/|Dr. Luis Carvalho]] (Boston University)\\ //Topic//: Deviance Matrix Factorization.\\  [[seminars:datasci:102423|Abstract]]
-   * **October 31, 2023 **\\ //Speaker//: [[https://www.math.ttu.edu/~ruiqliu/|Dr. Ruiqi Liu]] (Texas Tech University)\\ //Topic//: Estimation and Hypothesis Testing of Derivatives in Smoothing Spline ANOVA Models.\\  [[seminars:datasci:103123|Abstract]]
-   * **November 14, 2023 **\\ //Speaker//: [[https://www.sfu.ca/science/stat/cao/|Dr. Jiguo Cao]] (Simon Fraser University)\\ //Topic//: Machine Learning for Functional Data.\\  [[seminars:datasci:111423|Abstract]]
-   * **November 28, 2023 **\\ //Speaker//: [[https://profiles.ucsf.edu/li.zhang|Dr. Li Zhang]] (University of California San Francisco)\\ //Topic//: NAIR Software: Unlocking the Immune System's Secrets by Network Analysis and Advanced Machine Learning.\\  [[seminars:datasci:112823|Abstract]]
-   * **December 5, 2023 **\\ //Speaker//: [[https://stempel.fiu.edu/faculty-staff/profiles/xuexia-wang.html|Dr. Xuexia Wang]] (Florida International University)\\ //Topic//: Genetic Association Test and Risk Prediction Modeling for Cardiomyopathy in Cancer Survivors.\\  [[seminars:datasci:120523|Abstract]]