I am a researcher and computer scientist. I used to work in San Francisco, then I traveled a bit, and I'm now in NYC starting Materialize.io.

The following posts are in reverse chronological order: newest posts are first. The content of the oldest posts may no longer be correct (mostly those about pieces of software I've worked on, and their state at some time in the past), but they have been retained for posterity (and some humility).

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topics	date	title
Differential	2021-04-26	Generalizing Linear Operators
Materialize	2021-02-11	Windows enough, and Time
Materialize	2020-12-29	Slicing up Temporal Aggregates in Materialize
Materialize	2020-11-18	Joins in Materialize
Materialize	2020-09-24	Materialize Under the Hood
Materialize	2020-08-13	Lateral Joins and Demand-Driven Queries
Differential	2020-08-01	Change Data Capture (part 1)
Materialize	2020-04-01	Robust Reductions in Materialize
Materialize	2020-06-19	Eventual Consistency isn't for Streaming
Timely,Differential	2020-06-09	Rust for Data-Intensive Computation
Differential	2020-06-06	Sudoku in Differential Dataflow
Differential	2020-05-01	Managing Memory in Differential Dataflow
Differential	2020-03-26	Upserts in Differential Dataflow
Materialize	2020-03-16	Materialize on NYC taxi data
Differential	2020-02-15	Differential Dataflow and Calculus
Datalog, Differential	2019-09-06	Datalog at SIGMOD and VLDB
Timely	2019-08-17	Tracking progress in timely dataflow
Materialize	2019-08-03	Debugging dataflows with materialized
Differential	2019-06-13	LDBC BI Query 25, developed
Differential	2019-05-20	Programming with time
Privacy	2019-04-12	Differential privacy and Demographics
Differential	2019-02-09	Monoids and Graph Processing
Differential	2018-12-30	Tensorflow in Differential Dataflow
Differential	2018-11-20	Strings (and beyond) in differential dataflow
Timely	2018-09-26	Timely Dataflow Architecture
Timely	2018-08-18	Synchronization via Timely Dataflow
Datalog, Rust	2018-05-19	A Datalog engine in Rust
Differential	2018-05-06	A differential dataflow query processor
Privacy	2018-03-11	Things that count
Privacy	2018-02-25	Uber's differential privacy .. probably isn't
Differential	2018-02-19	World enough, and timely dataflow
Differential	2018-02-11	Yahoo's Steaming Benchmark
Differential	2017-12-10	Advent of Code
Timely	2017-11-08	Timely on Kafka
Privacy	2017-10-27	Deep learnings about differential privacy
COST, Differential	2017-10-23	COST in the land of differential dataflow
Privacy	2017-09-28	The Moral Character of Privacy Technology
COST	2017-09-23	COST in the land of databases
Differential	2017-09-05	Big Data Stream Managers (BDSM)
Differential	2017-08-21	Live PageRanking
Timely	2017-07-27	Memory management for big data
Differential	2017-07-24	Throughput and latency in differential dataflow
Differential	2017-05-06	Specialization in differential dataflow
Differential	2017-05-01	Arrangement in differential dataflow
Differential	2017-04-24	A TPC-H-like evaluation of differential dataflow
Differential	2017-03-28	Differential dataflow 2017 roadmap
Differential	2017-03-22	What I'm stuck on
Differential	2017-03-01	High-resolution timestamps
Differential	2017-02-21	Modular data organization
Differential	2017-02-11	Differential dataflow status report
Privacy	2017-02-08	Two flavors of differential privacy
Privacy	2017-01-26	Differential privacy as a mutual information constraint
Timely	2016-09-17	Tracking motifs in evolving graphs
Privacy	2016-08-29	Differential privacy and correlated data
Privacy	2016-08-16	Lunchtime for data privacy
Differential	2016-08-03	Differential Dataflow internals
Differential	2016-07-26	Differential Dataflow Roadmap
Differential	2016-07-17	Dataflow as Database
Datalog, Differential	2016-06-21	Differential Dataflog
Privacy	2016-06-14	Statistical inference considered harmful
Privacy	2016-05-19	Differential privacy for dummies, redux
Differential	2016-03-27	Explaining outputs in modern computations
Privacy	2016-02-06	Differential privacy: an illustrated primer
Privacy	2016-02-03	Differential privacy for dummies
COST	2015-12-24	Graph processing in 2016
Timely	2015-12-19	Progress tracking in Timely Dataflow
Differential	2015-11-27	An introduction to Differential Dataflow, part 2
Differential	2015-09-29	An introduction to Differential Dataflow, part 1
Timely	2015-09-21	An introduction to Timely Dataflow in Rust, part 3
Timely	2015-09-18	An introduction to Timely Dataflow in Rust, part 2
Timely	2015-09-14	An introduction to Timely Dataflow in Rust, part 1
COST	2015-08-20	Epic Graph Battle of History: Chaos vs Order
COST	2015-08-15	Sorting out graph processing
COST, Timely	2015-07-31	The impact of fast networks on graph analytics, part 2.
COST, Timely	2015-07-08	The impact of fast networks on graph analytics, part 1.
Differential	2015-05-12	Differential graph computation
Timely	2015-05-04	Abomonation: terrifying serialization
Timely	2015-04-19	Data-parallelism in timely dataflow
Timely	2015-04-11	Worst-case optimal joins, in dataflow
Differential	2015-04-07	Differential dataflow
COST	2015-02-04	Bigger data; same laptop
COST	2015-01-15	Scalability! But at what COST?
Timely	2014-12-29	Timely dataflow: core concepts
Timely	2014-12-27	Timely dataflow: reboot
Rust	2014-12-16	Columnarization in Rust, part 2
Rust	2014-12-15	Columnarization in Rust