Robert McHardy

Robert McHardy

AI Research Engineer

InstaDeep

Biography

I’m an AI Research Engineer working at the InstaDeep and BioNTech joint AI innovation lab. In my role, I work on the development of next generation vaccines and biopharmaceuticals for the treatment of cancer and prevention and therapy of infectious diseases, including Covid-19. For this, I develop state-of-the-art AI models (Transformers and Graph Neural Networks) based on the latest research.

Prior to joining InstaDeep, I obtained a Master of Science in Machine Learning from University College London, where I was part of the Deciding, Acting, and Reasoning with Knowledge (DARK) lab, being supervised by Mikayel Samvelyan, Patrick Lewis, and Tim Rocktäschel. Before joining UCL, I completed my Bachelor of Science in Natural Language Processing at the University of Stuttgart under the supervision of Roman Klinger.

Interests
  • Artificial Intelligence
  • Graph Neural Networks
  • Natural Language Processing
Education
  • MSc in Machine Learning, 2021

    University College London

  • BSc in Natural Language Processing, 2019

    University of Stuttgart

Experience

 
 
 
 
 
InstaDeep
AI Research Engineer
Oct 2021 – Present London, United Kingdom

Responsibilities include:

  • Developing Graph Neural Networks for the development of next generation vaccines and biopharmaceuticals for the treatment of cancer and prevention and therapy of infectious diseases, in cooperation with BioNTech SE.
  • Analysing the developed models and presenting the findings to internal and external stakeholders.
 
 
 
 
 
Bosch Center for Artificial Intelligence
Machine Learning Research Intern
May 2020 – Aug 2020 Renningen, Germany
Developed a state-of-the-art relation extraction model based on distributional similarity with TensorFlow and transformers. Generated an automatically annotated text corpus with unique named entity identifiers based on the English Wikipedia encyclopedia.
 
 
 
 
 
ComputerBase GmbH
Freelance Editor
Sep 2014 – Present Berlin, Germany
Researching and reporting about current IT topics including artificial intelligence for one of the largest online computer magazines in Germany (>30 million PIs per month).

Publications

(2022). Peptide-MHC Structure Prediction With Mixed Residue and Atom Graph Neural Network. In MLSB 2022.

Cite DOI

(2019). Adversarial Training for Satire Detection: Controlling for Confounding Variables. In NAACL 2019.

PDF Cite DOI