Talks
Every talk in the Data Science & AI Lecture Series, with abstracts, speaker bios, slides, and recordings.
Upcoming
- Oct 9, 2026 Powers of magnetic graph matrix: Fourier spectrum, walk compression, and applications — David Gleich
- Oct 23, 2026 The talk will consider the impact of AI in moving image works, including AI filmmaking, animation, and video art — Kenneth Collins
- Oct 30, 2026 Land Use and Transportation Planning with AI — Guang Tian
- Nov 13, 2026 AI for Cancer Treatment — Aik Choon Tan
- Dec 4, 2026 40 Years of AI ! — Tom Henderson
Past talks
2026
- Oct 2, 2026 Analyzing -omics Data with High-Dimensional Embeddings: Advantages and Pitfalls — Berton Earnshaw
- Sep 30, 2026 Structure Without a Grid: Extracting and Tracking Topological Features — Bei Wang, Shandian Zhe
- Sep 25, 2026 Data Science Meets Chemistry — Matthew S. Sigman
- Sep 18, 2026 Using AI and Real-World Data to Personalize Diabetes Treatment — Polina Kukhareva
- Sep 11, 2026 The Formalization Gap in Generative AI — Benjie Wang
- Sep 4, 2026 Data Science of Tracking Measles in Utah — George Vega Yon
- Aug 28, 2026 About Start-UP MTN: which involves Comptutational Neuroscience and AI — Warren Pettine
- Apr 17, 2026 Multimodal Data Augmentation for Data-Efficient Robot Manipulation — Daniel Sieta
- Apr 15, 2026 AI-Driven Environmental Intelligence: Scalable and System-Level Approaches for Environmental Decision Making — Chengbin Deng
- Apr 15, 2026 Controlling LLM's via Activation Geometry — Amirali Abdullah
- Apr 15, 2026 AI for Multi-Wavelength X-ray Analysis — Shiqi Yu
- Apr 14, 2026 Move Slow and Build Community — Sameer Honwad
- Apr 13, 2026 Supporting responsible use of AI in visual-based teaching and learning — Jihyun Rho
- Apr 10, 2026 Building and Utilizing Foundation Models for Drug Discovery and Clinical Development — Chase Neumann
- Apr 8, 2026 Multilingual Model Adaptation for Under-Served Languages — Fahim Faisal
- Apr 7, 2026 Advancing AI Literacy and Human-Centered AI for Teaching and Learning — Si Chen
- Apr 6, 2026 Towards Data-Efficient, Trustworthy, and Generalizable AI for Visual Understanding — Qiang Ji
- Apr 1, 2026 Efficient and Reliable AI for Real-World Healthcare Deployment — Md Mostafijur Rahman
- Mar 31, 2026 Advancing GeoAI and Earth observation for environmental monitoring — He Yin
- Mar 30, 2026 Principled Learning for Medical AI: Structure, Reliability, and Interpretability — Xiaoling Hu
- Mar 27, 2026 From Self-Efficacy to Systemic Change: Building an Equitable Computing Education Research Program — Erdogan Kaya
- Mar 26, 2026 Navigating the Human-AI Nexus in Education: Bridging Cognitive Science, Learning Analytics, and Intelligent Systems — Bailing Lyu
- Mar 25, 2026 What Happens in the 10 Years Following a State Government-Caused Environmental Injustice? Flint's Progress Since Its Water Crisis — Dick Sadler
- Mar 23, 2026 Bridging the Formalization Gap for Generative AI — Benjie Wang
- Mar 20, 2026 A Matter of Audiences: Capturing and Reporting Reasoning and Results Around Data Visualizations — Kate Isaacs
- Mar 20, 2026 Breaking Information Silos: Advancing Search Systems for Unified Information Seeking — Xueguang Ma
- Mar 16, 2026 Generalizable, Proactive, and Agentic Learning for Open-Ended Tasks — Tenghao Huang
- Mar 5, 2026 Extracting, Visualizing, and Analyzing Topological Features with Discrete Representations — Josh Levine
- Mar 3, 2026 Concepts and Counterfactuals: Human-Centered Interpretability in the Age of Foundation Models — Grace Guo
- Mar 2, 2026 Solving Linear PDE by Machine Learning and Commutative Algebra — Bogdan Raita
- Feb 27, 2026 Agents: Hype or Opportunity — Kenny Marino
- Feb 26, 2026 Designing Narrative-Driven Data Experiences — Zezhong Wang
- Feb 24, 2026 Visualization and Judgment: Human-Centered Computing in Data-Rich Practice — Paul Parsons
- Feb 19, 2026 Robot Navigation in the Wild — Dinesh Manocha
- Feb 17, 2026 Dataset Discovery and Integration in the Era of Large Language Models — Juliana Freire
- Feb 6, 2026 Navigating Advances and Inflections in Machine Learning for Atmospheric Chemistry Modeling — Makoto Kelp
- Jan 23, 2026 Linters as Socio Technical Systems — Andrew McNutt
- Jan 9, 2026 Human-Centered Data Science for Crisis Informatics — Marina Kogan
2025
- Dec 3, 2025 Data Visualization 101 — Madison Golden, Kaylee Alexander
- Nov 19, 2025 Talk by Vivek Srikumar — Vivek Srikumar
- Nov 12, 2025 DESI: Disentangling Cosmology from Observational Artifacts — Kyle Dawson, Tyler Hagen
- Nov 5, 2025 Talk by Jenny Lin — Jenny Lin
- Oct 29, 2025 Understanding Data through Change Summarization and Causal Disparity Explanations — Anna Fariha
- Oct 22, 2025 VLM Agents — Kenneth Marino Canceled
- Oct 15, 2025 Designing human-centered systems that yield data that is minimal, relevant, and actionable — Vineet Pandey
- Oct 1, 2025 A Trip to the Neural Frontier: Neurosymbolic Sensor Fusion for Trustworthy AI-Enabled Neural Interventions — Luis Garcia
- Sep 24, 2025 Indirect dating with mixture density networks — Kenneth Blake Vernon
- Sep 17, 2025 Descent with Misaligned Gradients and Applications to Hidden Convexity — Aditya Bhaskara
- Sep 10, 2025 Talk by Bei Wang Phillips — Bei Wang Phillips
- Sep 3, 2025 Swarms, Emergent Behaviors, and Multi-Agent Systems — Daniel Brown
- Aug 27, 2025 Predictions as Public Reasons — Konstantin Genin
- Aug 20, 2025 Kernel Methods for Operator Learning — Varun Shankar
- Apr 18, 2025 Stein Variational Inference for Robotic Learning and Control — Tucker Hermans
- Apr 11, 2025 Estimating High-Dimensional Zipfians & Language Distributions — Peter Jacobs
- Apr 4, 2025 "Triangles, Communities, and Dense Subgraphs" — Sabyasachi Basu
- Mar 28, 2025 Everything you always wanted to know about Cardinality — Seth Pettie
- Mar 21, 2025 Robust High-Dimensional Mean Estimation With Low Data Size — Jeff Phillips
- Feb 28, 2025 Unveiling Hidden Patterns in Agent Behavior with Discrete-Choice and Network Theory — Bernardo Modenesi
- Feb 21, 2025 Teaching and Learning at the Human-Technology Frontier: The Power of Artificial Intelligence and Big Data — Chenglu Li
- Feb 14, 2025 Conditional Flow Divergence Matching — Bao Wang
- Feb 7, 2025 Triadic First-Order Logic Queries in Temporal Networks — Omkar Bhalerao
- Jan 24, 2025 Data Science & AI Day — Dieter Fox
- Jan 17, 2025 Supervised Learning on Tabular Data — Fengjiao Wang
2024
- Nov 26, 2024 Representation Learning for IR and Role of Retrieval in LLM Era — Zhichao Xu
- Nov 19, 2024 Computational and experimental approaches to examining short videos' persuasive effects — Hoaning Xue
- Nov 12, 2024 Interpreting Learned Feedback Patterns in Large Language Models — Amir Abdullah
- Oct 29, 2024 Reasoning on Tabular and Multimodal Data — Vivek Gupta
- Oct 15, 2024 Minmax estimation rates for manifold learning — Raghav Venkatraman
- Oct 1, 2024 Exploring long-term ecosystem change with self-organizing maps — Simon Brewer
- Sep 24, 2024 Veridical Data Science: the Practice of Responsible Data Analysis and Decision Making — Rebecca Barter
- Sep 17, 2024 The Importance of Shape in Chemistry Data — Aurora Clark
- Sep 10, 2024 Are AI-enabled Systems Safe and Secure? — Guanhong Tao
- Sep 3, 2024 Topological Signatures of Out-of-Distribution Examples — Esha Datta
- Aug 27, 2024 == Sketching and Classifying Spatial Trajectories == — Jeff Phillips
- Apr 10, 2024 Service Operations for Justice-On-Time: A Data-Driven Queueing Approach — Nitin Bakshi
- Mar 13, 2024 Understanding LLMs through their Generative Behavior, Successes and Shortcomings — Swabha Swayamdipta
- Feb 28, 2024 Neural PDE solvers with applications in manufacturing and agriculture — Baskar Ganapathysubramanian
- Feb 21, 2024 Deep Learning in Image Analysis: Applications and Challenges — Tolga Tasdizen
- Feb 14, 2024 In-Context Learning: A Case Study of Simple Function Classes — Shivam Garg
- Feb 7, 2024 Challenges and Progress Towards AI Alignment via Reinforcement Learning from Human Feedback — Daniel Brown
- Jan 31, 2024 Cryptography for Fairness — Pratik Soni
- Jan 24, 2024 Clustering and Visualization of High-dimensional Data using Path Metrics — Anna Little
2023
- Dec 13, 2023 Talk by Felix Reidl — Felix Reidl
- Dec 6, 2023 Parallel Batch-Dynamic Graph Algorithms — Julian Shun
- Nov 29, 2023 Framework for Parallel Hierarchical Agglomerative Clustering — Shangdi Yu
- Nov 22, 2023 “Leveraging the Structure of Data“ — Bryan Perozzi
- Nov 1, 2023 Linear Probing Revisited: How to Get Rid of Clustering — William Kuszmaul
- Oct 25, 2023 Computational journeys in a sparse universe — Aydin Buluc
- Oct 18, 2023 DBSP: A formal model for streaming computation and its applications to incremental computations and databases — Mihai Budiu
- Oct 4, 2023 Leveraging the Structure of Data — Bryan Perozzi
- Sep 27, 2023 Loss Minimization and Multi-group Fairness — Parikshit Gopalan
- Sep 20, 2023 Data Preparation: The Biggest Roadblock in Data Science — El Kindi Rezig
- Sep 13, 2023 Dynamic Graph Sketching: To Infinity And Beyond — David Tench
- Sep 6, 2023 Blame the data, not the system: how data constraints can help in trustworthy machine learning and explain causes of data-system malfunction — Anna Fariha
- Aug 30, 2023 Improving Fairness of Information Access in Networks — Blair Sullivan
- May 30, 2023 User-centric Natural Language Processing — Bodhisattwa Majumder
- Apr 19, 2023 Towards Reinforcement Learning for Precision Drug Dosing — Sumana Basu
- Apr 12, 2023 Is everything everywhere all at once? Asking questions of all public microbiome shotgun data — Titus Brown
- Apr 5, 2023 Searching for dwarf (small) galaxies in astronomical surveys — Yao-Yaun Mao
- Mar 29, 2023 Monotone Implicit Graph Neural Networks for Long-Range Dependency Learning — Justin Baker
- Mar 22, 2023 Modeling Infection Fatality Rates to Assess the Burden of COVID-19 in Developing Countries — Bailey Fosdick
- Mar 15, 2023 Measuring homophily in group interactions: hypergraph models and combinatorial impossibilities — Nate Veldt
- Mar 1, 2023 Applied Strategies for Advancing Racial Equity and Addressing Bias in Big Data Research — Emily Hadley
- Feb 22, 2023 Inference and Reasoning for Semi-structured Tables — Vivek Gupta
- Feb 15, 2023 Solving Cancer with Data: Mathematical Discovery and Computational and Experimental Validation of Whole-Genome Genotype–Survival and Response to Treatment Phenotype Relationships in Cancer — Orly Alter
- Feb 8, 2023 Meritocracy or systemic bias? Untangling the drivers the productivity and prominence among scientists — Aaron Clauset
- Feb 1, 2023 “AI” That Masters Language Could Reason about Negation — Ana Marsovic
- Jan 25, 2023 Putting Parameterization into Practice — Shweta Jain
- Jan 18, 2023 College of Nursing, Division of Acute and Chronic Care — Echo Warner
- Jan 11, 2023 Prediction of Gene Functions by Leveraging Biological Insights with Mechanistic Machine Learning — George Vega Yon
2022
- Dec 7, 2022 Optimizing Ranking Effectiveness and Fairness — Tao Yang
- Nov 30, 2022 Finding signals of genome mutation in the noise of DNA sequencing error — Aaron Quinlan
- Nov 16, 2022 Applications of global and local persistent homology for the shape of biological data — Bernadette Stolz
- Nov 9, 2022 Data-driven Shape Analysis: Methods, Applications, and Future — Shireen Elhabian
- Nov 2, 2022 Quantifying supply-demand imbalance in ridesharing systems — Alex Chin
- Oct 19, 2022 Active Sampling for Min-Max Fairness — Jie Zhang
- Oct 5, 2022 Theoretically and Practically Efficient Parallel Nucleus Decomposition — Jessica Shi
- Sep 28, 2022 Scalability Challenges in Large-Scale Sequence Search — Prashant Pandey
- Sep 21, 2022 Model Review: Improving Transparency, Reproducibility, & Knowledge Sharing using MLflow — Jes Ford
- Sep 14, 2022 Human neuronal population encoding of temporal difference learning variables during risky choices — Elliot Smith
- Sep 7, 2022 Scalable supervised manifold learning with random forests and neural networks — Kevin Moon
- Aug 31, 2022 Talk by Casey Greene — Casey Greene
- Aug 24, 2022 On Hypergraph Analysis and Visualization — Bei Wang Phillips
- Apr 29, 2022 Leveraging Unlabeled Data for Machine Learning in the Electrocardiogram — James Brundage
- Apr 22, 2022 Anchoring Multimodal Narrative Generation — Khyati Chandu
- Apr 15, 2022 Mathematical Modeling for Landmark and 3D Object Detection — Abhinav Kumar
- Apr 8, 2022 Improving Data Efficiency of Neural Models using Logic — Tao Li
- Apr 1, 2022 Identifying Keyphrases from Text Documents - From Heuristics to Language Models — Debanjan Mahata
- Mar 25, 2022 Quantitative Approaches to Social Justice — Chad Topaz, Jude Higdon
- Mar 18, 2022 Quantifying Gerrymandering: Hearing the Will of the People — Greg Herschlag, Jon Mattingly
- Mar 4, 2022 From Specialists to Generalists: Inductive Biases of Deep Learning for Higher Level Cognition — Anirudh Goyal of Montreal
- Feb 25, 2022 Towards Inclusive and Socially Aware Language Technologies — Sunipa Dev
- Feb 18, 2022 Some Very Basic Theory of Classification (in low dimensions — Jeff Phillips
- Feb 11, 2022 Neural Networks Expressivity through the lens of Dynamical Systems — Vaggos Chatziafratis
- Feb 4, 2022 The Curious Case of Figurative Language — Tuhin Chakrabarty
- Jan 28, 2022 Towards the Development of Models that Learn New Tasks from Instructions — Swaroop Mishra
- Jan 21, 2022 Designing Neural Networks for Efficient Encrypted Inference — Chinmay Hedge
- Jan 14, 2022 Understanding the Convergence of Optimization Algorithms for Minimax Machine Learning — Yi Zhou
2021
- Dec 10, 2021 Evaluating and Testing Natural Language Processing Models — Sameer Singh
- Dec 3, 2021 Data visualization for machine learning practitioners — Julia Silge
- Nov 19, 2021 Towards a Near Universal Time Series Data Mining Tool: Introducing the Matrix Profile — Michael Yeh
- Nov 12, 2021 From classical statistics to modern deep learning — Mikhail Belkin
- Nov 5, 2021 Sequence-based approaches as human-centered data science methods for crisis informatics — Marina Kogan
- Oct 29, 2021 How Differential Equations and Random Graph Insights Benefit Deep Learning — Bao Wang
- Oct 22, 2021 Applications of topology and geometry to root analysis — Erin Wolf Chambers
- Oct 8, 2021 The Mathematics of the Signal-to-Noise Ratio and Insights for Data Science — Anna Little
- Oct 1, 2021 Estimating Potential Oil Spill Trajectories and Coastal Impacts from Near-Shore Storage Facilities: A Case Study of FSO Nabarima and the Gulf of Paria — Tony H. Grubesic
- Sep 24, 2021 Studying the (in)effectiveness of low dimensional graph embeddings — C. Seshadhri
- Sep 17, 2021 Air Quality Mapping Using Sensor Networks and Statistical Regression — Ross Whitaker
- Sep 10, 2021 Neural Closure Models for Dynamical Systems — Pierre Lermusiaux
- Sep 3, 2021 Multi-fidelity Learning and Optimization for Physical Simulation and AutoML — Shandian Zhe
- Aug 27, 2021 A Visual tour of Bias Mitigation — Jeff Phillips
- Apr 23, 2021 Epistemic values in feature importance methods: Lessons from feminist epistemology — Lizzie Kumar
- Apr 16, 2021 Game Theoretic Statistics — Arun Sai Suggala
- Apr 9, 2021 As We Are: Detecting and Mitigating Human Bias in Visual Analytics — Emily Beth Wall
- Mar 19, 2021 Logic based classification for Low Resource Setting — Vivek Gupta [slides]
- Mar 12, 2021 Boundary thickness and robustness in learning models — Yaoqing Yang
- Feb 26, 2021 An Improved Analysis of the Quadtree for High Dimensional EMD — Rajesh Jayaram [slides]
- Feb 19, 2021 Tight Bounds for Adversarially Robust Streams and Sliding Windows via Difference Estimators — Samson Zhou
- Feb 12, 2021 Visual Pattern Exploration At and Across Scales — Fritz Lekschas
- Feb 5, 2021 Unexpected Effects of Online no-Substitution k-means Clustering — Michal Moshkovitz
- Jan 29, 2021 A Systematic Understanding of Exempt and Non-Exempt Algorithmic Biases — Sanghamitra Dutta
- Jan 22, 2021 1. Introduction and Logistics — Grad Student Spotlights
2020
- Dec 4, 2020 A Tale of Evidence and Explanations — Danish Pruthi
- Nov 20, 2020 Low-rank Subspaces for Unsupervised Entity Linking — Akhil Arora
- Nov 13, 2020 Towards High-Performance Machine Learning on the Edge — Akanksha Atrey
- Nov 6, 2020 An Information Bottleneck Approach for Rationale Extraction — Bhargavi Paranjape
- Oct 30, 2020 Data Visualization: How to Make Good Decisions — Alberto Cairo
- Oct 30, 2020 Semiparametrics: A Biostatistician’s Toolbox — Daniel Scharfstein
- Oct 23, 2020 Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context — Nancy Wang
- Oct 16, 2020 Examining Extra Sentential Abilities of Contextual Embeddings — Varun Gangal
- Oct 9, 2020 DQI: Measuring Data Quality in NLP — Swaroop Mishra
- Oct 2, 2020 Identifying Affective Events and the Reasons for their Polarity — Ellen Riloff
- Sep 25, 2020 Learning to care — Matthew H. Samore, Jeffrey Humpherys
- Sep 18, 2020 Optimization methods for imposing Fairness in Computer Vision Models — Vishnu Lokhande
- Sep 11, 2020 Characterizing the asymptotic performance of inverse problems over Deep Networks — Parthe Pandit
- Sep 4, 2020 Contextualized Weak Supervision for Text Classification — Dheeraj Mekala
- Aug 28, 2020 InfoTabS: Inference on Tables as Semi-Structured Data — Vivek Gupta [recording]
- Mar 5, 2020 The Promise and Perils of Big Data in the Cloud - Examples from the Atmospheric Sciences — John Horel
- Feb 27, 2020 New Algorithms, Descriptors, and Machine Learning Techniques Tailored to the Challenges of Materials Informatics — Taylor Sparks
- Feb 20, 2020 TopoAct: Exploring the Shape of Activations in Deep Learning — Bei Wang
- Feb 6, 2020 Big Data, Big Universe: Data-Driven Discoveries in Astrophysics — Gail Zasowski
- Jan 30, 2020 Unbiased Learning to Rank: Theory and Practice — Qingyao Ai
- Jan 23, 2020 Data Science projects in Marriott Library — Harish Maringanti
- Jan 16, 2020 Literate Visualization: Making Visual Analysis Sessions Reproducible and Reusable — Alexander Lex
- Jan 9, 2020 Randomized FunctionalAnalysis — Chris Musco
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