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PhD level data scientist specialising in business applications of neuroscience and psychology

Claire Wu, London, United Kingdom


Experience

1 - 4 years

Other titles

CTO technical co-founder phd fellow strategy consultant

Skills

Data Science Python Javascript Datasets Machine learning + 15 more

I'm offering

Hi, I'm Claire! I'm a data scientist who specialises in using insights from neuroscience and psychology to improve your business - from detailed analysis of user behaviour over huge datasets, to bespoke consulting about which neuroscience tools and techniques could most benefit your team or product.

I have co-founded my own startup in the education space - we offer a machine learning product which marks handwritten homework and provides detailed analytics dashboards to teachers and students. As the CTO, I built this product entirely by myself (I'm a full stack dev in addition to being a data scientist), including a complex computer vision backend to extract structured data from handwritten homework. Through my startup I have experience making financial models, making sales, talking to investors, and all other aspects of running a business - so you can be sure that I will understand the business side of your problem and not just the technical details!

I have a PhD in Neuroscience from UCL and BA Psychology and Philosophy (First Class) from Oxford. In my PhD, I analysed large neural datasets (12TB of electrical signals recorded directly from the brains of awake mice performing a virtual reality task), using machine learning methods. My specialist areas were learning and memory - particularly dementias such as Alzheimer's disease - and the neuroscience of vision.

I'm happy to work on a variety of tasks, from data science and business analytics, to developer jobs, to neuroscience or psychology consulting. Please get in touch if you think my skills could help you!

Markets

United Kingdom
United States (Remote only)
Germany (Remote only)
Netherlands (Remote only)
Denmark (Remote only)
Norway (Remote only)
Sweden (Remote only)
Finland (Remote only)
Lithuania (Remote only)

Links for more

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Industries

SaaS Pharmaceutical Education Biotechnology

Language

English
Fluently
Chinese (Mandarin)
Good

Ready for

  Smaller project
  Larger project
  Ongoing relation / part-time
  Full time contractor

Available

Typically available right away

My experience

2017 - ?   job
CTO Podium Education.
• Developed edtech product (app with personalised analytics and machine learning) from concept to successful launch
across top private and state schools in the UK
• Designed, wrote and deployed web app (Python/Flask/Javascript), for analysing and extracting structured data from written schoolwork using semi-automated machine learning pipeline
Javascript, Python, Machine learning, Analytics, Flask, Cto, App, Web, Product Management

2017 - 2017   job
Summer Associate (Strategy Consultant) Strategy&.
• Advised on adjacent growth opportunities for a UK laboratory group, ranking market attractiveness by opportunity
size, major risks, and synergies with the laboratory group and the acquiring corporate
• Profiled competitors and comparison titles for a major video game studio (data collected using web scraping),
demonstrating that the key differentiator for the studio was their diversity of genres and partnerships
• Interviewed potential clients for a UK CRM software provider in financial services looking to enter a new geographical
region, identifying a key difference in the customer acquisition process which posed a moderate risk to entry
Business Intelligence, Data Analysis, Strategirådgivning, Business strategy

2014 - 2017   job
PhD Researcher Eli Lilly Research and Development.
• Further developed and implemented machine learning models of neural responses to visual features, for analysing
large complex neural datasets (12TB+ electrophysiological data) to understand how information processing breaks
down in the brain in Alzheimer's disease
• Led successful implementation of first ever rodent virtual reality system at Lilly R&D site, liaising with UCL academics
and Lilly scientists, engineers, IT and animal technicians to solve equipment, software and sourcing issues
Machine learning, Virtual reality, Researcher, Implementation, Software, Processing, Data Analysis, Psykologi, Pharmaceutical


My education

2014 - 2019
UCL
PhD, Neuroscience
• Joint project between the Cortex Lab (Kenneth Harris and Matteo Carandini), developers of the 'KiloSort' neuron
sorting algorithm, and 'phy' interface to optimise machine learning output, and the Saleem Lab (Aman Saleem), using
computational techniques to understand visual processing and behaviour

2011 - 2014
University of Oxford
BA (First class), Psychology and Philosophy
- Placed second in final examinations (awarded Proxime Accessit Gibbs Prize.) Placed first in first-year examinations.
- Co-authored three peer-reviewed papers
- Awarded Matthew Taylor prize (best science undergraduate in Magdalen College)


My resume

  Download resume



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