Recent News

• Nov-2023: Excited to present our vision of Task-based Dataset Search at CIDR 2024 in January and our vision about using documentation to tackle data ambiguity at the Table Representation Learning Workshop at NeurIPS 2023.
• Aug-2023: We will be presenting 4 papers at VLDB! Saibot brings differential privacy to task-based dataset search platforms, Joinboost trains decision trees, radom forests, and gradient boosted models within DBMSes faster than ML libraries like LightGBM and XGBoost, Pollock introduces a benchmark and grammar-based formalization for studying CSV loaders, and ConnectorX is the fastest way for DataFrame systems to load data from DBMSes. Excited to see folks in Vancouver!
• Jul-2023: Delighted to recieve a grant from Columbia’s Center of AI Technology to study differentially private dataset search with Rachel Cummings.
• May-2023: SIGMOD 2023 is next month! We have exciting work on a Data Interface Grammar, how to detect and avoid logical errors in semantic layers, CPU-GPU acceleration for In-DBMS machine learning, a suite of XTutor visualization libraries for data education, and the OM3 progressively encoded data structure for fast and massive-scale time series visualizations!
• Dec-2022: Zachary recieved the Columbia Data Science Institute’s Avanessian PhD fellowship!
• Sep-2022: IEEE VIS 2022 is next month! Excited to present our work on generating fully interactive interface from natural language questions at the nlviz workshop, our recommendations for how to write captions for data visualizations at the viscomm workshop, and our new formalism and interaction design for ad hoc comparisons at the main conference!
• Aug-2022: A nice Columbia Engineering article about our research to help insure African farmers from droughts and floods.