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Profile
Operations insight, grounded in the line
Eight years across airline operations, engineering and performance management. At easyJet I lead operational performance insight across a multi-base European network: how performance is measured, who is held to it, and what it costs when it slips.
Behind that: a PhD in predictive modelling from Cranfield as a Marie Skłodowska-Curie fellow, client programmes for British Airways, Rolls-Royce and Safran, and eight papers on aircraft system health. I also fly as cabin crew — so the analysis stays honest to the line.
On this page: Live demos|Expertise|Outcomes|Experience|Publications
BasedLondon, UK
Current roleSenior Analyst, Operations Insight & Improvement, easyJet
CredentialsIEng · MIET · CEng (in progress)
FellowshipMarie Skłodowska-Curie ESR, MOIRA ITN
Experience mixYears by domain
Expertise
Where I add value
Six areas, from the ramp to the boardroom.
Operational performance
On-time performance, delay causes, turnaround and disruption across a multi-base network.
Supplier & KPI governance
KPIs and service levels; holding partners to the standard and pricing non-conformance.
Cost & efficiency
The cost of operational failure — and the case for cutting it without losing resilience.
Predictive analytics & prognostics
Failure prediction, anomaly detection and remaining-useful-life models, deployed in production.
Compliance & assurance
SOP definition and adherence monitoring in safety-critical, regulated aviation.
Stakeholder leadership
Executive forums, external partners and consultancies; leading analytical teams.
| Capability | Depth | Applied at |
|---|---|---|
| Operational performance | Expert | easyJet |
| Supplier & KPI governance | Advanced | easyJet |
| Cost & efficiency | Advanced | easyJet · Cranfield |
| Predictive analytics & prognostics | Expert | Cranfield · IKERLAN · Yealink |
| Compliance & assurance | Advanced | easyJet |
| Stakeholder leadership | Advanced | easyJet · Cranfield · Yealink |
Self-assessed. Full circle: leads and sets the standard. Three-quarters: delivers independently.
Approach
How I work
Four moves — whether the subject is a turnaround or an aircraft system.
1
Define the standard
Agree how performance is measured before anyone argues about the number.
In practiceStation and ground-ops standards across easyJet's network.
2
Find the driver
Locate where performance fails, who owns it, and what it costs.
In practiceCost of non-conformance for third-party partners.
3
Intervene and track
Design the fix with the teams who run it; hold partners to it.
In practice+2–4 pp on-time performance across focus bases.
4
Embed at the top
Report where resource and investment decisions are made.
In practiceAMB / BOR / OLT; Oliver Wyman programme evidence base.
Selected outcomes
Results that held up in operation
Measured, in operation.
2–4 pp
On-time performance improvement across focus bases
easyJet
~40%
Higher failure-prediction accuracy, supporting ~20% less downtime
IKERLAN
~15%
Equipment reliability gain from condition-based monitoring
Tetra Pak
~50%
Reduction in manual reporting through automated pipelines
Yealink
Before and afterIndexed, before = 100
Experience
Career
Airline operations · applied research · industrial analytics.
Career timeline2011 – today
EmploymentSecondmentEducation
Apr 2025 — Present
London Luton Airport, UK
Current
Senior Analyst, Operations Insight & Improvement
easyJet
- Own performance monitoring across a multi-base network — the standards, the reporting, the escalation.
- Find and fix delay and ground-handling drivers with station teams: +2–4 pp on-time performance across focus bases.
- Quantify cost, efficiency and resilience trade-offs for executive forums (AMB / BOR / OLT) and the Oliver Wyman network programme.
- Line manage junior analysts; fly concurrently as cabin crew.
Dec 2021 — Dec 2024
Bedfordshire, UK
Marie Skłodowska-Curie Researcher
Cranfield University · MOIRA European Training Network
- Early Stage Researcher on MOIRA (Horizon 2020 MSCA-ITN, grant 955681): hybrid prognostics for aircraft systems.
- Analytics and performance programmes for British Airways, Rolls-Royce and Safran across airline, MRO and supply chain.
- Supervised MSc students and junior researchers; lectured and trained.
Jan 2018 — Oct 2021
Philippines
Data Scientist
Yealink Network Technology
- Led a team of analysts and engineers; embedded analytics across the business.
- Automated pipelines, dashboards and reporting — ~50% less manual effort.
- Predictive models deployed to production with product and operations teams.
Secondments
May — Aug 2024
Tetra Pak, Italy
Data & Operations Analytics Consultant
Three analytics products and condition-based monitoring: ~15% reliability gain, ~60% less manual reporting; data roadmap adopted.
Apr — Jul 2023
IKERLAN, Spain
Data Science Consultant
Failure-prediction and anomaly-detection models: ~40% accuracy gain, ~20% less downtime.
Background
Education & credentials
Education
PhD, Aerospace, Transport & ManufacturingPredictive modelling and applied statistics · Cranfield University, UK · Marie Skłodowska-Curie Fellow
2021 — 2024
MSc, Mechanical EngineeringNortheastern University
2015 — 2018
BSc, Mechanical EngineeringShenyang Jianzhu University
2011 — 2015
Professional credentials
Incorporated Engineer (IEng)Engineering Council, UK
Member, Institution of Engineering and Technology (MIET)Professional membership
Chartered Engineer (CEng)Application in progress
Marie Skłodowska-Curie FellowshipHorizon 2020 MSCA Innovative Training Network MOIRA, grant agreement 955681 · Fellow profile
2021 — 2024
Publications
Research on the health management of aircraft systems
Eight papers on hybrid prognostics and predictive maintenance, 140+ citations, as a Marie Skłodowska-Curie fellow.
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2025
Novel Hybrid Prognostics of Aircraft Systems
7 citations
2024
Health Management of Aircraft Fuel Systems: A Practical Prognostic Perspective
1 citation
2024
Hybrid Prognostics for Aircraft Fuel System: An Approach to Forecasting the Future
1 citation
2024
Novel Prognostic Methodology of Bootstrap Forest and Hyperbolic Tangent Boosted Neural Network for Aircraft System
1 citation
2024
Aeronautics Failure: A Prognostic Methodology Based on the Physics of Failure and Statistical Approaches for Predictive Maintenance
—
2023
Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview
125 citations
2023
A Prognostic Approach to Improve System Reliability for Aircraft System
5 citations
2023
Fusion and Comparison of Prognostic Models for Remaining Useful Life of Aircraft Systems
1 citation
Teaching & supervision
Lecturing and MSc supervision at Cranfield; analytics capability-building at Yealink and easyJet.
Get in touch
The Shard and City Hall at dusk, from beside the Tower of London · Peter Trimming
Let's talk operations performance, analytics and predictive maintenance.
Emailfelix.fu1993@gmail.com
LinkedInlinkedin.com/in/felix-shuai-fu
Google ScholarPublications & citations
Based in London--:--local time