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Justin J. Grace

Machine Learning Scientist / Engineer

Biography ๐Ÿ‘‹

I am a Machine Learning Engineer ๐Ÿ‘จโ€๐Ÿ’ป / Scientist ๐Ÿ‘จโ€๐Ÿ”ฌ with over 6 years industry experience working as a Data Scientist and Machine Learning Engineer, and 4 years experience as an academic researcher and scientist. I am a specialist in deep learning and natural language processing (NLP) with a particular interest in dialogue ๐Ÿ’ฌ and question-answering ๐ŸŽฑ systems.

I have worked on various industry applications, highlights include:

  • building and deploying a deep neural biomedical question answering service able to query over 30M+ pubmed documents – helping drug discovery scientists discover treatments to rare diseases faster ๐Ÿ’Š
  • building deep neural dialogue and question-answer systems at a peer-to-peer chat technology startup – assisting scalable automated support for peer-to-peer conversations ๐Ÿ‘จโ€๐ŸŽ“
  • deep neural document summarization systems for news media – enabling automated TLDR descriptions of complex news articles ๐Ÿ“ฐ
  • developing a semantic search engine for company discovery – assisting with discovering novel technology companies for partnership & investment ๐Ÿ’ก

I have worked across several industries, including…

biotechnology & pharmaceutical ๐Ÿ’Š – edtech ๐Ÿ‘จโ€๐ŸŽ“ – technology & innovation ๐Ÿ’ก – interactive entertainment & video games ๐ŸŽฎ – news media ๐Ÿ“ฐ – healthcare & neuroscience ๐Ÿ’‰ – and human-computer interaction ๐Ÿ‘จโ€๐Ÿ’ป

Interests

  • Artificial Intelligence / Machine Learning / Deep Learning
  • Natural Language Processing (NLP) / Dialogue systems / question answering
  • News media / biology / video games

Education

  • MSc. in Artificial Intelligence, 2018

    University of Edinburgh

  • PhD. in Cognitive Neuroscience of Language, 2010

    Donders Institute for Brain, Cognition & Behaviour (Not Completed)

  • MSc. in Cognitive Neuroscience, 2009

    University of Edinburgh

  • MA. in Psychology & Linguistics (dual hons.), 2008

    University of Edinburgh

Experience

 
 
 
 
 

Machine Learning Engineer

Healx

Jan 2020 โ€“ Present Cambridge, UK
 
 
 
 
 

Senior Machine Learning Engineer

Unibuddy

Sep 2018 โ€“ Dec 2019 London, UK
 
 
 
 
 

Lead Technologist for Intelligent Systems

Digital Catapult

Apr 2016 โ€“ Apr 2017 London, UK
 
 
 
 
 

Lead Data Scientist

Sony Interactive Entertainment / PlayStation

Apr 2015 โ€“ Apr 2016 London, UK
 
 
 
 
 

Principal Data Scientist

Guardian Media Group / the Guardian

Oct 2013 โ€“ Jan 2015 London, UK
 
 
 
 
 

Research Scientist (Biostatistics)

Population Health Sciences, Faculty of Life Sciences & Medicine, Kings College London

Oct 2011 โ€“ Oct 2013 London, UK
 
 
 
 
 

Doctoral Research Associate

Donders Institute for Brain, Cognition and Behaviour

Sep 2010 โ€“ Sep 2011 Nijmegen, NL
 
 
 
 
 

Research Associate

UCL Interaction Centre, University College London

Sep 2009 โ€“ Sep 2010 London, UK

Publications & Papers

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Evaluating latent representations in encoder-decoder models for text summarization with multitask and transfer learning.

Neural encoder-decoder models have shown significant promise in sequence transduc- tion tasks such as machine translation and, more โ€ฆ

Patient-specific prediction of functional recovery after stroke

Background and aims: Clinical predictive models for stroke recovery could offer the opportunity of targeted early intervention and more โ€ฆ

A patient-specific predicting tool for functional recovery after stroke.

Objectives: Existing prognostic models of stroke recovery are rare. This study aimed to develop and validate a patient-specific model โ€ฆ

Fast or safe? how performance objectives determine modality output choices while interacting on the move.

In-car devices that use audio output have been shown to be less distracting than traditional graphical user interfaces, but can be โ€ฆ

Talks

Using AI to discover novel treatments for rare diseases (@Healx)

Findacure2020 Conference (2020) – A technological revolution: transforming diagnostics and drug development segment

Ethical Quandry in the age of Big Data

TEDxUCL (2015)

Posts

Recent Work

A living list of significant aspects of my most recent employment as a Senior Machine Learning Engineer at X.

Your recommendation engine is only as smart as your customersโ€™ purchases are.

To set the problem, imagine two companies using recommendation engines: an online music streaming service and a luxury watch retailer. โ€ฆ

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