Robert J. Hardwick, PhD

AI-Native Tech Lead | Expert Decision Engineer

Contact Information

Professional Summary

Key Achievements:

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
  • Leading the product development of end-to-end Frontier AI solutions for customers across the life sciences industry (Frontier for Life Sciences)
  • Technical lead of the 'fundamental bridge' team with more stakeholders to coordinate between than any other within Frontier: Business Development, Product Development, Customer Delivery and our Customers themselves
  • Co-designed and rewrote the Computational Twin Engine (core of the entire Frontier platform) in Rust, achieving 5x performance improvement within 6 months
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