Ryan Greenhalgh, PhD

About

I’ve been drawn to the interface between life sciences, engineering, and entrepreneurship since my undergraduate studies. I studied Material Science and Engineering, published 4 papers in tissue regeneration and briefly worked at a medical device company during my time as an undergraduate. My passion for life and physical sciences continued at the University of Cambridge, where I completed a PhD in Biology and Physics. It was during this time that my interest in entrepreneurship brought me to the EnterpriseTECH program and CJBS, serving as a platform to work with early-stage companies in the Cambridge and London start-up ecosystem. I built machine learning proof of concepts for 3 companies since 2019, one of which raised $1M. In 2021, I co-founded DeepMirror, where we are building the learning infrastructure to power discoveries in the Life Sciences industry. In the last 2 years, we raised pre-seed funding and won a prestigious Innovate UK smart grant among other

Please don’t hesitate to contact me and check out my GitHub and LinkedIn

Tech Skills

Advanced

  • Python
  • PyTorch, TensorFlow opencv
  • Computer vision, CNNs, Bayesian Optimization
  • Monte Carlo Methods
  • Machine learning pipelines and cloud production
  • Amazon Web Services (S3, EC2, Cloudwatch, Lambda, ECR, Mechanical Turk)
  • Linux, Win, MaxOS bash script
  • Docker, git, Travis CI

Intermediate

  • C++, MATLAB, Mathematica, CSS/HTML, SQL
  • Django and Flask
  • Google Cloud Platform (GCP)
  • Bayesian methods, Graph theory

Resume

Education

PhD, Physics and Biology

2018 - 2022

University of Cambridge, Cambridge, UK

  • Full scholarship with 10% acceptance rate, 2 funded student projects, teaching.
  • Outreach, Japan industrial visit, and international projects (Colombia).
  • Courses in Machine Learning, Probabilistic Machine Learning, Entrepreneurship.

MRes, Nanoscience and Nanotechnology

2017 - 2018

University of Cambridge, Cambridge, UK

  • Awarded full scholarship, near highest grades (GPA 4.0), 2 publications.

MEng, Materials Science and Engineering

2013 - 2017

University of Manchester, Manchester, UK

  • Highest grades in department (GPA 4.0), 4 publications, 7 awards, competed for University slalom team.

Professional Experience

Chief Technology Officer

May 2021 - Present

DeepMirror, London/Cambridge, UK

  • Building the learning infrastructure to power discoveries in the Life Sciences industry.

Machine Learning Engineer

Nov 2019 - Nov 2020

Outfield Technologies, Cambridge, UK

  • Lead and developed core product to paying customers in under a year from concept phase.
  • Deployed core machine learning pipeline and storage onto cloud reducing runtimes from hours to minutes (AWS S3, EC2, Cloudwatch, Lambda, ECR).
  • Designed and trained modern CNN architectures and optimised performance by transfer learning and Bayesian optimization in tensorflow.
  • Deployed semi-automated data labelling pipeline using Amazon Mechanical Turk.
  • Optimized product with customer journey map, value proposition canvas, and face-to-face feedback with customers.
  • Responsible for technical strategy, tracking and reporting of KPIs, and recruitment.

Research assistant

Aug 2014 - Sept 2017

University of Manchester, Manchester, UK

  • Engineered several materials to promote tissue regeneration specifically for bone and soft tissue that resulted in several publications while undergrad (4 publications).

Research Scientist

Aug 2015 - Aug 2016

Medtrade Products Limited, UK

  • Developed a new in vitro methodology for CE approval (Class IIa).
  • Reviewed and analysed clinical trial data collected by a third party.
  • Market, product, and literature review of surgical sealants and proposed new formulations.