Kennedy Romick

Race strategy, driven by data.

MSc Motorsport Engineering Graduate/Data & Performance Engineer/Data & Analytics

I'm a motorsport engineer with a background in data science. I build the models and tools race teams use to make decisions, from a stochastic overtaking model for Formula E race simulations to computer vision and tyre tracking for JOTA in the World Endurance Championship.

  • Race Strategy Simulation
  • Machine Learning
  • Computer Vision
  • Vehicle Data & Controls
  • Trackside Operations
View projectsGet in touch
Kennedy Romick sitting in the driver's seat of a race car
Portrait of Kennedy Romick
S1FIA WEC
Race support, JOTA
S2Formula E
Mission Control, Monaco
S3MSc
Distinction
S4Hackathon
Winner, $10k prize
01

Experience

Trackside and remote race operations, Formula Student software, and data roles in public health. The common thread is turning messy data into decisions people can act on.

Core focus
  • Race strategy & simulation
  • Trackside & remote race operations
  • Machine learning & statistics
  • Vehicle software & controls
FIA WECOct 2026 – Present

Remote Race Support Team Member

JOTA

Remote

  • Contributed to tyre tracking and strategy analysis as part of the remote operations team.
  • Evaluated the team's in-house software tools, proposing improvements and new tools, and implementing changes live over the race weekend for testing and use during Sunday's race.
  • Developed a computer vision tool for automatic tyre detection in the pit lane.
Tyre TrackingStrategy AnalysisComputer Vision
BTCC SupportAug 2026

Women in Race Engineering (WiRE)

BTCC Mini Challenge UK

Donington Park, UK

  • Supported the team across qualifying and race sessions with tyre preparation, fuel calculations and geometry adjustments.
  • Assisted with live data analysis and preventative maintenance to help optimise car performance over the race weekend.
Tyre PreparationFuel CalculationsSetup & GeometryLive Data
Formula EJan 2025 – Oct 2025

MSc Dissertation, Formula E Race Strategy

Oxford Brookes University × Cupra Kiro Formula E Team

Oxford, UK

  • Developed a Stochastic Overtaking Model in Python and integrated it into existing MATLAB-based race simulation code, sponsored by the Cupra Kiro Formula E Team.
  • Supported the team's Mission Control operations during both Monaco Formula E races, using OneTiming, Transcribble and meteorological data for real-time strategy support.
PythonMATLABOneTimingTranscribble
Formula StudentSept 2024 – June 2025

Software & Vehicle Controls

Oxford Brookes Racing

Oxford, UK

  • Developed an upgraded Product Lifecycle Management (PLM) system for team-wide adoption, with a React, JavaScript and HTML front end and a Python back end.
  • Implemented Software-in-the-Loop testing with MATLAB and Simulink test harnesses to validate all vehicle control systems and streamline development.
ReactPythonMATLABSimulink
Public HealthAug 2023 – Aug 2024

Data Analyst

Public Health Agency of Canada, Data Impact Team

Canada

  • Supported survey development by consolidating data from surveillance system evaluations.
  • Analysed survey results using Azure Databricks and Python, presenting findings in Power BI.
Azure DatabricksPythonPower BI
Formula SAE ElectricSept 2023 – June 2024

Data & Instrumentation

UCalgary Racing

Calgary, Canada

  • Analysed data from various sensors to optimise vehicle performance.
  • Developed a streamlined interface giving other groups seamless access to analytical data.
Sensor DataVehicle Performance
Global HealthMay 2023 – Aug 2023

Research, Evaluation & Operations Scholar

Healthy Child Uganda

Uganda

  • Supported field data collection processes.
  • Automated the process to update and clean the Community Health Registry database.
  • Performed data analysis in R, including multivariable logistic regression and Kaplan-Meier survival analysis, for the Community Health Worker Retention study.
RSurvival AnalysisData Automation
Public HealthMay 2022 – Dec 2022

Data Analyst

Public Health Agency of Canada, Emergency Management Branch

Canada

  • Cleaned and validated the National Emergency Strategic Stockpile inventory database using Excel, with some work presented in Power BI.
  • Served as student lead, organising all student work projects and coordinating communication between the student team and management.
ExcelPower BITeam Lead
02

Selected projects

Race strategy models, trackside tools and machine learning research.

2025MSc Dissertation · Cupra Kiro Formula E Team

Stochastic Overtaking Model for Formula E

A probabilistic model of on-track overtaking, built in Python and integrated into existing MATLAB-based race simulation code used for strategy work.

  • Sponsored by the Cupra Kiro Formula E Team
  • Supported Mission Control during both Monaco Formula E races
  • Part of an MSc awarded with Distinction
PythonMATLABStochastic ModellingRace Simulation

2024BHSc Data Science Capstone · University of Calgary

Beyond the Track: F1 Safety Car Prediction

An analysis of when and why safety cars are deployed in Formula 1, with a Monte Carlo simulation that predicts the probability of a safety car at each race.

  • Historical F1 data from FastF1, cleaned with Python and Excel
  • Interactive parallel coordinate plot of incident properties
  • Predictions validated against the following season
PythonFastF1Monte CarloStreamlit
Code

2026JOTA · FIA World Endurance Championship

Pit-Lane Tyre Detection

A computer vision tool that automatically detects tyres in the pit lane, built while working on tyre tracking and strategy analysis with JOTA's remote race support team.

  • Developed during live WEC race weekends
  • Built alongside improvements to the team's in-house tools
Computer VisionTyre TrackingRace Operations
View all projects(9)
03

Education

Motorsport engineering on top of a foundation in bioinformatics and data science.

Sept 2024 – Sept 2025Distinction

MSc Motorsport Engineering

Oxford Brookes University · Oxford, UK

Dissertation
“Development of a Stochastic Overtaking Model for Formula E Race Strategy Simulations”
Sept 2019 – Apr 2024First-Class Honours

Bachelor of Health Sciences

Bioinformatics Major · Data Science Minor

University of Calgary · Calgary, Canada

Thesis
“Machine Learning-based Analysis of Sleep as a Risk Factor for Cardiovascular Disease”
Capstone
“Beyond the Track: Analysing Safety Car Incidents in Formula 1 for Enhanced Race Strategy”

Also

04

Articles & Achievements

Research presented at symposia and conferences, and the awards along the way.

Presentations

2024

Invited speaker

Machine Learning-based Analysis of Sleep as a Risk Factor for Cardiovascular Disease

University of Calgary BHSc/BCR Research Symposium

2023

Presenter · SU Sustainability Award ($1,000)

Ten-year Retention of Volunteer Community Health Workers in Rural Uganda

University of Calgary Students' Union Undergraduate Research Symposium

2023

Presenting author, poster

A Decade of Volunteering: Ten-year Retention of a Maternal and Child Health Focused Cohort of Ugandan Community Health Workers

ACHRI Research Retreat: One Child Every Child

Romick, K., Kyomuhangi, T., Turyakira, E., et al.

Awards & scholarships

  • 2022Innovation 4 Health Hackathon, Winner$10,000 team prize
  • 2023Students' Union Sustainability Award$1,000
  • Dean's List2019–20 and 2021–22
  • O'Brien BHSc Admission Award
  • University of Calgary Entrance Scholarship
  • Jason Lang Scholarships
  • Suncor Energy Scholarships
  • Alexander Rutherford Scholarships
05

Let's talk.

Race strategy, performance engineering or data: if you're working on something interesting, get in touch.

Emailkennedyromick@gmail.comLinkedInin/kennedy-romick