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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