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Work

Selected engagements

Each write-up covers what the problem was, what we built, what the data could and couldn't support, and what changed as a result.

01

Federal government · Homeland security · Critical infrastructure

2018 – present

Predicting how a hurricane cascades through US critical infrastructure

Record linkage at national scale, then a forecast of how a storm moves through what it links — delivered as a platform, as a subcontractor, since 2018.

Cybersecurity and Infrastructure Security Agency (CISA), US Department of Homeland Security

2018 –

continuing, as a subcontractor

02

Energy · Utilities

2 years

Predicting where a storm will break the grid — five days out

A two-stage model that forecasts damage by district, then converts that into the crews and materials to pre-stage.

Southern California Edison

15%

reduction in outage times, client-reported

03

Commercial real estate · Hospitality

2016, then multi-year

Matching hotels to buyers, in a market with almost no ratings

A recommender built on a ratings matrix that was 99.35% empty — and the bake-off that picked the algorithm.

Jones Lang LaSalle (JLL)

3 months → instant

to produce a buyer shortlist

04

Energy · Environment · Public sector

38 years of records, 1975–2013

Four decades of pipeline incidents, and the gap between reporting and resolution

Roughly 62,000 incidents across 38 years. 94% were reported the same day. Only 20% were resolved the same day — a gap this analysis quantified.

Government of Alberta

~62,000

incidents analyzed

05

Automotive · Telematics

19,000 km over 11 days

Telling drivers apart from the way they drive

Sensor telemetry from an 11-day, 19,000-kilometer expedition, reduced to a behavioral signature that identifies who is behind the wheel.

A global automotive manufacturer

78%

identification accuracy

06

Mining · Industrial

Not disclosed

Predicting equipment failure before it stops the site

Remaining-useful-life models over historical part-failure data, plus unsupervised stress-level estimation on components with no failure history.

A mining and heavy-equipment operator

−23%

unscheduled downtime, client-reported

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