Robert J. Hardwick, PhD

Lead Data Scientist & Engineer | Simulation & Decision Intelligence Expert

Contact Information

Professional Summary

Lead Data Scientist and Engineer with 10+ years experience building simulation and decision intelligence systems in Python, Go and Rust. Expert in stochastic modeling and Bayesian methodology who has built production systems for clinical trials, smart cities, sports analytics and public health.

Key Achievements:

Open Source Projects:

Technical Skills

Professional Experience

Lead Data Scientist | Faculty, London, UK
December 2025 - Present
Senior Data Scientist | Faculty, London, UK
August 2025 - December 2025
Senior Software Engineer | Faculty, London, UK
March 2024 - August 2025
Senior Software Engineer (Consultant) | Faculty, London, UK
December 2023 - March 2024
  • Forward deployed to develop product solutions for customers across life sciences, healthcare and consumer goods manufacturing applications
  • Co-redesigned and rewrote the Computational Twin Engine (core of Frontier platform) in Rust, achieving 5x performance improvement within 6 months
  • Led development of simulation core prototypes in Rust and Go for enterprise decision intelligence
Research Engineer | VivaCity Labs, London, UK
December 2021 - November 2023
  • Co-designed and led development of predictive traffic simulation architecture for multi-modal urban traffic optimization
  • Implemented automated validation and calibration system for digital twin traffic simulation product (InnovateUK funded)
  • Built Jenkins CI/CD pipelines for containerised deployments and infrastructure automation
Quantitative Analyst/Data Scientist | Pythia Sports, London, UK
October 2020 - November 2021
  • Developed GPU-accelerated sports match event simulations in Python on AWS, improving betting decision accuracy
  • Built end-to-end ETL pipeline and feature engineering framework using Bayesian statistical methods
Postdoctoral Research Associate | Imperial College London, London, UK
January 2019 - September 2020
  • Built stochastic simulation framework in Python influencing mass drug administration policy for disease elimination
  • Developed COVID-19 pandemic simulations informing Royal Society rapid review publication
Postgraduate Researcher | University of Portsmouth, Portsmouth, UK
October 2015 - March 2019
  • PhD research building statistical forecasting and Bayesian experimental design toolkit in Python for cosmological applications

Education

PhD in Physics

University of Portsmouth | Institute of Cosmology and Gravitation

October 2015 - March 2019

MSc in Cosmology (Physics)

University of Sussex

September 2013 - January 2015

BSc in Physics with Computing

University of Bath

September 2009 - June 2012