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Joseph M. Hellerstein

Jim Gray Professor of Computer Science
EECS Computer Science Division
UC Berkeley

Joseph M. Hellerstein

Research Interests

My research focuses broadly on data-oriented systems and the way they drive computing. Recently this includes parallel and distributed programming models, analytic data context, interactive data visualization and transformation, scalable machine learning, distributed systems and networking.

My research is driven by active collaborations with colleagues in a wide variety of fields including Programming Languages, Human-Computer Interaction, Machine Learning, Networking, Security, and Theoretical Computer Science.

I am co-founder of the

Current Projects

: Data Context Services.

Fluent: scale-free programming via asynchronous dataflow

Past Projects

BOOM and : Orders Of Magnitude simpler code for the Cloud.

d^p ("deep"): Data to the People, led to Trifacta, Captricity and MADlib.

BayesStore: Probabilistic data management

Declarative Networking and the P2 system

Querying, monitoring, and networking using wireless sensor networks

PIER: A peer-to-peer query engine based on distributed hash table (DHT) overlay technologies.

Telegraph: An Adaptive Dataflow System for networked data and services.

TinyDB: A query processing engine for ad-hoc wireless sensor networks.

CONTROL: Interactive Analysis of Massive Datasets, including online aggregation, online data cleaning (Potter's Wheel), online data mining and scalable spreadsheets.

GiST: Generalized Indexing (GiST for PostgreSQL, libgist), Access Method Profiling and Debugging (amdb), and Indexability

Open Source Software


Last modified: $Date: 2017/01/20 21:11:31 $ by Joe Hellerstein