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• Affiliates
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• Email & Messages
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• Events
  • 2024 Spooky Data Visualization Challenge
  • Data Science Space Week
  • Feb 6 Collaborative Conversations with U.S. Census Bureau
  • Generative AI Mastery: From Theory to Practice [Learning Workshop]
  • PhD Research Development Workshop
  • View TAMIDS Events
  • New Workshop on Machine Learning, AI, and Health Collaborations
  • Workshop on Digital Twins in Advanced Semiconductor Manufacturing
  • TAMIDS Events
    • 2019 TAMIDS Data Science Competition
    • 2020 TAMIDS Data Science Competition: Call for Participation
    • 2022 Student Data Science Competition Final
    • TAMIDS Seminar Series & TRIPODS Distinguished Seminar: Emmanuel Candes: Conformal Prediction in 2020
    • TAMIDS Seminar Series: Justin Romberg: Distributed Stochastic Approximation and Multi-Agent Reinforcement Learning
    • Data Science Webinar: Computer Vision with PyTorch and Its Applications
    • Workshop: Astronomical Data Science
    • Biomedical Data Science Online Training Sessions
    • Bring-Your-Own-Data (BYOD) Online Consultancy
    • Cyber Wise: 2025 Student Data Challenge
    • Data Justice Lab Seminar Series: Aaron Roth: Better Estimates of Prediction Uncertainty
    • Data Justice Lab Seminar Series: Brandon Booth: Integrating Psychometrics and Computing Perspectives on Bias and Fairness in Affective Computing
    • Data Justice Lab Seminar Series: Ruihong Huang: Detecting Online Hate Speech Using Both Supervised and Weakly Supervised Approaches
    • TAMIDS Seminar Series: Randy Garrett: Data Science for Organizational Models
    • Data Science Webinar: Data-driven Modeling of Self-Organization from Observation
    • Data Science Webinar: Scalable Gaussian process approximation and optimization
    • Data Science Webinar: Solving Nonlinear PDEs with Gaussian Processes and Deep Neural Network (TensorFlow)
    • Design & Analytics for Urban Artificial Intelligence Lab Workshop
    • Fall 2021 Data Science Seminar Series: Alina Zare: Label Your Data With This One Weird Trick: Methods for Addressing the Digital Data Labeling Bottleneck
    • Fall 2021 Data Science Seminar Series: Ceyhun Eksin: Communication-Aware and Decentralized Strategic Learning in Networked Multiagent Systems
    • Fall 2021 Data Science Seminar Series: Chen Wang: Translational Bioinformatics: Go Deep and Go Broad – Working Examples in Deciphering Molecular Heterogeneity of Ovarian Cancer
    • Fall 2021 Data Science Seminar Series: David Simchi-Levi: Statistical Learning in Operations: The Interplay between Online and Offline Learning
    • Fall 2021 Data Science Seminar Series: Johan Ugander: Learning Preferences with Irrelevant Alternatives
    • Fall 2021 Data Science Seminar Series: Matthias Katzfuss: Scalable Gaussian-Process Approximations for Big Data
    • Fall 2021 Data Science Seminar Series: Maytal Saar-Tsechansky: Leveraging Online Labor Markets to Learn from Imperfect and Biased Humans
    • Fall 2021 Data Science Seminar Series: R. Srikant: The Role of Lookahead and Approximate Policy Evaluation in Policy Iteration with Linear Value Function Approximation
    • Fall 2021 Data Science Seminar Series: Thomas Strohmer: Mathematical Methods for Privacy-Preserving Machine Learning
    • Fall 2021 Data Science Seminar Series: Tirthankar Dasgupta: Some New Insights on the Fisher Randomization Test
    • Fall 2021 Seminar & Tutorial Series
    • Google AI Impact Challenge Mixer
    • W.A.T.E.R. Hydrology Data Workshop
    • Intelligent NextG Cellular Networks and Applications Lab Workshop
    • Workshop: Large-scale Geospatial Data Analysis with R
    • Update: TAMIDS SciML Lab: Discovery Hackathon on Material Design With Graph Learning
    • Workshop: NVIDIA Deep Learning Institute for Computer Vision
    • NVIDIA DLI Deep Learning for Computer Vision Workshop
    • Update: Online Workshop: Digital Twins
    • Seminar: Prof. Alfred O. Hero III, University of Michigan
    • PhD Research Workshop: Computational / Artificial Intelligence
    • TAMIDS Workshop on Data Science/AI/ML in Education
    • Transportation Data Science Seminar Series: Bahar Dadashova: Random Parameter Models for Estimating Statewide Daily Bicycle Counts using Crowdsourced Data
    • TAMIDS SciML Lab Seminar Series: Paris Perdikaris: Bridging Physical Models and Observational Data with Physics-Informed Deep Learning
    • Seminar: Dr. Amy Braverman, Jet Propulsion Laboratory, NASA / Caltech
    • TAMIDS Seminar Series: Cynthia Rudin: Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and use Interpretable Models Instead
    • Seminar: Prof. Vicki Bier, University of Wisconsin-Madison
    • Spring 2022 Data Science Seminar Series: Deanna Needell: Online Nonnegative Matrix Factorization and Applications
    • Spring 2022 Data Science Seminar Series: Fei Tong & Abhishek Shrivastava: Data Science at Capital One
    • Spring 2022 Data Science Seminar Series: Kaibo Liu: Online Monitoring of Big Data Streams – Roadmap and Recent Advances
    • Spring 2022 Data Science Seminar Series: Kunpeng Zhang: Identifying Market Structure: A Deep Network Representation Learning of Social Engagement
    • Spring 2022 Data Science Seminar Series: Laura Mandell, Bryan Tarpley and Kayley Hart: Machine Learning/Natural Language Processing Experts Needed: How Do We Discover Emerging Gender Categories in 90 Volumes of Tagged Text?
    • Spring 2022 Data Science Seminar Series: Lu Tang: Studying Risk and Crisis Communication during Emerging Infectious Disease Outbreaks from Social Media Big Data
    • Spring 2022 Data Science Seminar Series: Michael Stein: Modeling and Simulation of High Frequency Wind Vectors
    • Spring 2022 Data Science Seminar Series: The Art of Data Visualization
    • Spring 2022 Data Science Seminar Series: Warren B. Powell: A Unified Framework for Sequential Decisions under Uncertainty
    • TAMIDS Spring 2022 Seminar & Tutorial Series
    • Spring 2024 NVIDIA DLI Workshops 
    • TAMIDS 2021 Research Conference
    • Data Science Bootcamp
    • TAMIDS Data Science Webinar Series – Summer Sessions
    • TAMIDS Fall 2020 Seminar & Tutorial Series
    • Online Workshop: TAMIDS Scientific Machine Learning Lab 2021
    • TAMIDS SCIML LAB SEMINAR SERIES: FELIPE A.C. VIANA: PROGNOSIS DIGITAL TWINS WITH HYBRID PHYSICS-INFORMED NEURAL NETWORKS
    • TAMIDS SciML Lab Seminar Series: Jia Zhao: Solving and Learning Phase Field Models Using Modified Physics Informed Neural Networks
    • TAMIDS SciML Lab Seminar Series: Maziar Raissi: Hidden Physics Models
    • TAMIDS SciML Lab Seminar Series: Yen-Hsi Richard Tsai: Numerical Wave Propagation and Parallel-in-Time Ccomputation Aided by Deep Learning
    • TAMIDS SciML Lab Seminar Series: Sanjay Choudhry: NVIDIA SimNet: A Multi-Physics Neural Solver
    • TAMIDS SciML Lab Seminar Series: Chris Rackauckas: “Stiffness: Where Deep Learning Breaks and How Scientific Machine Learning Can Fix It”
    • TAMIDS Seminar Series: Laura K. Nelson: Leveraging the Alignment between Machine Learning & Intersectionality
    • TAMIDS Seminar Series: Arash Pourhabib: Local Gaussian Process Regression for Spatial Data
    • TAMIDS Seminar Series: Austin Benson: Computational Frameworks for Higher-Order Network Data Analysis
    • TAMIDS Seminar Series: Bo Zeng: Inverse Multiobjective Optimization: Models, Insights and Algorithms
    • TAMIDS Seminar Series: Fahd Husain: Towards a Paradigm for Visual Modeling
    • TAMIDS Seminar Series: Fei Wang: Predictive Modeling with Longitudinal Patient Clinical Records
    • TAMIDS Seminar Series: Haris Vikalo: “Sensing and Learning in Distributed Systems Operating under Resource Constraints”
    • TAMIDS Tutorial Series: Managing Your Digital Footprints
    • TAMIDS Seminar Series: Pascal Van Hentenryck: End to End Data Science
    • TAMIDS Seminar Series: Rema Padman: YouTube Video Analytics for Health Literacy and Chronic Care Management
    • TAMIDS Seminar Series: Shuiwang Ji: Image and Graph Deep Learning Methods for Cellular and Molecular Level Science Discoveries
    • TAMIDS Seminar Series: Xinyue Ye: Sidewalk Extraction Using Aerial and Street View Images
    • TAMIDS Seminar Series: Vasileios Maroulas: Statistics, Topology and Data Analysis
    • TRIPODS Distinguished Lecture by David Donoho: ScreeNOT: Exact MSE-Optimal Singular Value Thresholding in Correlated Noise
    • Spring 2021 Seminar & Tutorial Series
    • TAMIDS Tech Talk: Kailai Xu: ADCME: Machine Learning for Computational Engineering
    • TAMIDS Tech Talk: Michael Henry: Research Partnerships Between Pacific Northwest National Laboratory and TAMIDS
    • Updated: TAMIDS Tech Talk: Roi Lipman: Leveraging GraphBLAS to Build a Performant Graph Database
    • TAMIDS Tech Talk: Samira Vafay Eslahi: Neural Architecture Search for Magnetic Resonance Image Reconstructions
    • TAMIDS Tech Talk Series: Amir Sagiv: Local and Optimal Transport Perspectives on Uncertainty Quantification
    • TAMIDS Tech Talk: Vinit Sehgal: Large-scale Geospatial Analysis with R
    • TAMIDS Tutorial Series: Anxiao (Andrew) Jiang: Deep Learning for Symbolic Regression
    • TAMIDS Tutorial Series: Hye-Chung Kum: Iterating Between the Data World and the Real World to Find Answers in Big Data
    • TAMIDS Tutorial Series: James Caverlee: Introduction to Conversational AI
    • TAMIDS & TRIPODS Distinguished Seminar: Christos Papadimitriou: Language, Brain, and Computation
    • TAMIDS Tutorial Series: Theodora Chaspari: Exploring Fairness and Socio-demographic Bias in Machine Learning
    • TAMIDS Tutorial Series & TRIPODS Distinguished Tutorial: Anuj Srivastava: Functional and Shape Data Analysis
    • TAMIDS Tutorial Series: Zhangyang Wang: Introduction to Generative Adversarial Networks
    • Transportation Data Science Seminar Series
    • Texas A&M Conference on Advances in Data Science: Theory, Methods and Computation
    • Texas A&M Data Science Bootcamp
    • TAMIDS Workshop on Operational Data Science
    • Transportation Data Science Seminar Series: Subasish Das: Application of Big Data in Highway Safety Modeling
    • Transportation Data Science Seminar: Dominique Lord: Application of Different Negative Binomial-lindley Variations in Crash Data Modeling
    • Transportation Data Science Seminar: Ruimin Ke: Real-time Video Analytics Empowered by Machine Learning and Edge Computing for Smart Transportation Application
    • Transportation Data Science Seminar Series: Daniel Piatkowski: Will We Ever Stop Driving? Aging, driving cessation, and autodependence in the US
    • Transportation Data Science Seminar Series: Rebecca Sanders: Insights from a Multi-Pronged Exploration of Pedestrian Fatalities
    • Transportation Data Science Seminar Series: Daoqin Tong: The Impact of COVID-19 on Food Access
    • Transportation Data Science Seminar Series: Harvey J Miller: Movement Analytics for Sustainable Mobility: Using new Geospatial and Moving Objects Data To Understand The Environmental, social and economic performance of urban transportation
    • Transportation Data Science Seminar Series: Hui Kong: Transportation Network Companies and the Future of Urban Mobility
    • Transportation Data Science Seminar Series: Jason (Dayong) Wu: Building a Smart Work Zone Using Roadside LiDAR
    • Transportation Data Science Seminar Series: Kailai Wang: Generational Trends in Travel Mode Choice
    • Transportation Data Science Seminar Series: Lingtao Wu: Introduction on How to Estimate Transportation Safety
    • Transportation Data Science Seminar Series: Maryam Mousavi: Safety and Operational Benefits of Autonomous Vehicles on an Urban Arterial Nearby a Driveway
    • Transportation Data Science Seminar Series: Pan Xu: Balancing the Tradeoff between Profit and Fairness in Rideshare Platforms
    • Transportation Data Science Seminar Series: Ralph Buehler, John Pucher: Cycling for Sustainable Cities
    • Transportation Data Science Seminar Series: Chris Cherry: Data Insights To Understand Micromobility User Behavior and Safety
    • Transportation Data Science Seminar Series: Soheil Sohrabi: How to Evaluate Automated Vehicle Safety with Limited Data?
    • Transportation Data Science Seminar Series: Tianjun Lu: Leveraging Data Science for Transportation and Environmental Challenges
    • Transportation Data Science Seminar Series: Wenwen Zhang: Exploring the Impacts of Emerging Transportation Technologies Using Machine Learning Assisted Simulation
    • Transportation Data Science Seminar Series: Xiao Huang : Revealing the disparity in human mobility dynamics during the COVID-19 pandemic via data-driven approaches
    • Transportation Data Science Seminar Series: Xiaojiang Li: Urban Streetscape and Human Movement Dynamics
    • Transportation Data Science Seminar Series: Xilei Zhao: Planning Innovative Mobility Systems with Machine Learning
    • Transportation Data Science Seminar Series: Yalong Pi: Traffic Information Retrieval and Analysis in Major Events Based on Monitoring Visual Data
    • Transportation Data Science Seminar Series: Yu Zhang: Network Design and Traffic Management of Urban Air Mobility
    • Transportation Data Science Seminar Series: Yunlong Zhang: Using an Interpretable Machine Learning Framework to Understand Mobility and Reliability Considerations in Truck Drivers’ Route Choice
    • Transportation Data Science Seminar: Joseph Chow: Tackling Operational Inefficiencies Toward Sustainable Mobility-as-a-Service
    • TRIPODS Distinguished Lecture by Tamara Kolda: Tensor Moment of Gaussian Mixture Models: Theory and Applications
    • Tutorial Workshop: Venkatesh Shankar: Business Analytics – Strategic Issues and Solutions
    • Tutorial Workshop: Boris Hanin: Introduction to Deep Learning
    • Tutorial Workshop: Dileep Kalathil: Reinforcement Learning – Algorithms and Applications
    • Tutorial Workshop: Rui Tuo: Gaussian Processes and Bayesian Optimization
    • Webinar: Introduction to Data Science
    • Webinar: Introduction to Google Cloud Platform
    • Welcome Back Mini Data Challenge
    • Workshop: Data Science at the Intersection of AgrIculture with its Affiliated Disciplines
    • Online Workshop: Artificial Intelligence Applications to Agriculture
    • TAMIDS / TEES / HPRC Online Workshop: Scientific Machine Learning (SciML)
    • Workshop: Uncertainty Quantification: Theory Meets Practice
    • Workshop: Data Science/AI/DL and Cloud
    • Workshop: FPGAs in the Era of AI and Big Data
    • Tutorial Workshop: Ben Hu: Interpretable Machine Learning – Concepts and Techniques
    • Online Workshop: NVIDIA Deep Learning Institute for Computer Vision
    • Workshop: Harnessing the Data Revolution in Networking (HDR-Nets2019)
• External
  • TAMIDS Coordinates Texas A&M’s Participation in the U.S. AI Safety Institute Consortium
• MSDS Spotlight
  • MSDS Student uses Data Science to help First Responders
  • TAMIDS MSDS Students Win TAMU Hackathon
• News
  • Recipients of the 2024 Seed Program for AI, Computing, and Data Science
  • 2025 Data Science Course Development Awardees
  • M.S. in Data Science Info Session & Fall 2025 Applications
  • New NSF Research Trainee Program will prepare future leaders in AI
  • TAMIDS Appoints Dr. Shuiwang Ji as Research Coordination Fellow to Advance AI Initiatives
  • TAMIDS is a partner on TTI’s $19.2 million vehicle-to-everything (V2X) grant from USDOT
  • TAMIDS is Soliciting Proposals for New Thematic Labs
  • TAMIDS Travel Grant Program for Students
  • Texas A&M University Joins OpenAI’s NexGenAI Consortium, Expanding AI Research and Education
• Programs
  • 2022 Data Science Course Development Program Awards
  • 2024 Data Science Course Development Awardees
  • 2024 Student Data Challenge Registration Open
  • Data Science Ambassador Deadline Extended to May 12
  • Spring 2024 Data Science Student Ambassador Events
  • TAMIDS Awards Funding to Faculty Collaboration Projects
  • TAMIDS is Launching the Early Career Collaboration Program
  • TAMIDS Sea Level Rise Data Science Challenge Awards
  • The 2022 Data Science Student Ambassadors
  • TAMIDS Workshop Grants Program
• TAMIDS Jobs
  • Position: Instructional Assistant Professor and Assistant Director of Training (TAMIDS)
  • Position: Postdoc in Data Science for Social Justice
• Uncategorized
  • Monograph on Precision Agriculture by Haoyu Niu
  • 2018 TAMIDS Data Science Competition
  • 2019 TAMIDS Postdoctoral Project Awards
  • 2020 Student Data Science Competition
  • 2020 Data Resource Development Program Awards
  • 2021 Student Data Science Competition: Call for Participation
  • Update: 2021 Student Data Science Competition
  • 2022 TAMIDS Career Initiation Fellow Awards
  • 2024 Data Science Course Development Grant Program
  • 2023 Career Initiation Fellow Awards
  • A Stellar Space Week!
  • Appointments and Promotions at TAMIDS
  • Bring-Your-Own-Data (BYOD) Online Consultancy
  • Celebrating Jennifer South’s Retirement
  • Update for 2022-23: Undergraduate Certificate in Data Analytics for the Petroleum Industry & ConocoPhillips Support
  • Congratulations to Our Fall 2024 MSDS Graduates!
  • ConocoPhillips Gives Texas A&M $1 Million To Support Data Science Certificate Program
  • 2023 Data Science Course Development Grant Program
  • 2021 Data Science Course Development Program Awards
  • COVID-19
  • COVID-19 Info @ TAMU
  • Data Science Ambassador Scholarship Program
  • Career Initiation Fellow Program
  • Data Science Coffee Connections
  • Data Science Postdoctoral Fellowships
  • Data Science Summer Reading List
  • Dr. Sabit Ekin Joins TAMIDS as Research Coordination Fellow
  • External Funding Opportunities
  • Fall 2024 NVIDIA DLI Workshops
  • Fall 2024 Seminar Series
  • Fall 2024 Wrap-Up
  • HPRC Offering Cybersecurity Camp
  • iOS Developers Wanted for Part-Time Position in Urban AI LAB
  • TAMU & External Jobs
  • TAMIDS Establishes Two New Thematic Data Science Labs
  • TAMIDS Talks and Tutorials
  • TAMIDS & College of Architecture Receive Microsoft Grant on AI for Humanitarian Action
  • TAMIDS Welcomes First Cohort of MS Data Science Students
  • New Course on Physics-based and Data-Driven Reduced-Order Modeling for Engineering Systems
  • New Postdocs Join TAMIDS Thematic Labs
  • New Seed Program for AI, Computing, and Data Science (SPAICD)
  • Nexar Dashcam Crash Prediction Challenge
  • Now Accepting Proposals for Course Development Program!
  • Texas A&M Receives National Science Foundation ERC Planning Grant on AI in Construction Science
  • NSF-Funded Project to Develop Probabilistic Scientific Machine Learning
  • Research Partnerships in Artificial Intelligence between Pacific Northwest National Lab and the Texas A&M University System
  • Recent Appointments at TAMIDS
  • Seminar Series Returns April 7th!
  • Seminar Series Schedule for Fall 2024
  • Simon Foucart named as Associate Director for External Academic Engagement at TAMIDS
  • Smart Livestock Farming: Towards Computer Vision Guided Cattle Disease Prediction
  • Space Week starts April 1st!
  • Stay Connected
  • 2023 Data Science Course Development Program Awards
  • TAMIDS Announces The 2023 Data Science Student Ambassadors
  • TAMIDS Announces 2024-2025 Student Ambassador Cohort
  • The Fall 2024 MS Data Science Program is Currently Accepting Applications
  • TAMIDS Announces Two Further Thematic Data Science Labs for 2022
  • TAMIDS Associate Director Dr. Yu Ding Receives AFS Distinguished Achievement Award for Research
  • TAMIDS Fall 2023 Seminar and Tutorial Series
  • TAMIDS Post-Doc Receives Award from CYPSY Conference
  • TAMIDS Program Outcomes
  • TAMIDS Project Broadens Access to NASA’s Earth Information System Through AI-based Query Translation
  • TAMIDS SciML Lab Researcher Ming Zhong Promoted
  • TAMIDS Spring 2024 Seminar Schedule
  • TAMIDS Supported CVMBS PhD Graduate Receives EU Marie Skłodowska-Curie Fellowship
  • TAMIDS Supports Undergraduate Research with DAPI Certificate Program
  • Texas A&M Leads National Science Foundation Funded Consortium for Regional Expertise in Computational and Data Sciences
  • TAMIDS Visiting Researcher Program
  • TAMIDS VIVID Lab: 4D Printing Workshop for Middle School Students
  • TAMIDS Welcomes New Associate Director-Krishna Narayanan
  • TAMIDS Welcomes New Research Staff Member Haoyu Niu
  • TAMIDS Welcomes New Staff Member-Snehashis Chakraborty
  • TAMIDS Welcomes New Staff Members
  • TAMIDS Welcomes Three New Postdoctoral Researchers
  • TAMIDS Hosts Intensive PhD Research Workshop on Computational /Artificial Intelligence
  • TAMIDS’s Year of Events
  • Texas A&M Big Data Workshop – Data Driven Discovery
  • 2019 Texas A&M Datathon
  • Texas A&M Receives $1.5M National Science Foundation TRIPODS Award on Foundations of Interdisciplinary Data Science
  • The Digital Twin Lab Launches New Collaboration Initiative to Empower Researchers
  • Thematic Labs Program
  • Update: 2022 Student Data Science Competition Awards
  • Update: TAMIDS Career Initiation Fellow Awards
  • Update: TAMIDS SciML Lab Workshop: TensorDiffEq for Efficient and Scalable Physics-Informed Deep Learning
  • Update: Undergraduate Certificate in Data Analytics for the Petroleum Industry
  • Updated: AI for IoT Information (AI3) Competition – Open to Walk-ons Until May 15, 2023
  • Welcome Angela Guerra, TAMIDS’s Senior Administrative Coordinator!
  • Welcome back, Data Science Ags!
  • Welcome, De’Ambra Harmon!
  • Welcome Jennifer Cutler, TAMIDS’s Assistant Director for Industry Engagement!
  • Where Data Science and Nuclear Energy Meet
  • TAMIDS Wildfire Data Science Challenge Awards
  • Yu Ding named as Associate Director for Research Engagement at TAMIDS

Events

• Scientific Machine Learning (SciML) Summer School 2025 
• Research in Artificial Intelligence for Science and Engineering

Event Categories

• Ambassador Event
• FYI
• TAMIDS Event
• Thematic Lab Event
• Workshop