Raphael Sonabend

Raphael Sonabend Email and Phone Number

London, GB
Raphael Sonabend's Location
London, England, United Kingdom, United Kingdom
Raphael Sonabend's Contact Details

Raphael Sonabend work email

Raphael Sonabend personal email

n/a
About Raphael Sonabend

Please connect with me if you're a founder, investor, building tools for managing source code, or open-source enthusiast. If I don't know you please include a note saying why you think we should connect.I am the founder of Codort and co-founder of OSPO Now.✔️ 10+ years experience in data analysis and consulting, 5+ years experience in machine learning, open-source, and data science. Consulted for LEGO, Nuffield Health, Roche, and more.✔️ PhD in machine learning. Co-wrote and co-edited Applied Machine Learning Using mlr3 in R. Lead-author of Machine Learning in Survival Analysis.✔️ Contributed to UK COVID-19 models that informed government decisions✔️ Funded £Ms in global data science and open-source projects at Wellcome

Raphael Sonabend's Current Company Details
NICE - National Institute for Health and Care Excellence

Nice - National Institute For Health And Care Excellence

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Scientific Adviser
London, GB
Website:
nice.org.uk
Employees:
1149
Raphael Sonabend Work Experience Details
  • Nice - National Institute For Health And Care Excellence
    Scientific Adviser
    Nice - National Institute For Health And Care Excellence
    London, Gb
  • Cognee
    Advisor (Open Source)
    Cognee Dec 2024 - Present
  • Codort
    Founder
    Codort Feb 2024 - Present
    Coming soon...
  • Ospo Now
    Co-Founder
    Ospo Now Oct 2023 - Present
    London, England, United Kingdom
    I founded OSPO Now after recognising many companies want to embrace Open Source but don't have the in-house resources to carry this out. We act as a virtual open source program office, either on retainer, delivering hands-on bespoke projects, or providing training. If you're not quite ready to open-source your own code, we can still help you use Open Source best practice for in-house inner-source.
  • Imperial College London
    Visiting Researcher
    Imperial College London May 2022 - Present
  • Imperial College London
    Research Associate
    Imperial College London Nov 2021 - May 2022
  • Imperial College London
    Research Associate
    Imperial College London Jun 2021 - Nov 2021
    At Imperial I was working as part of Prof. Neil Ferguson's COVID-19 Real Time Modelling team in the MRC Centre for Global Infectious Disease Analysis. I contributed to the Imperial COVID-19 model that directly fed into SPI-M-O/SAGE decision making, which informed government policy on lockdown.
  • Imperial College London
    Research Assistant
    Imperial College London Feb 2021 - Jun 2021
    London, England, United Kingdom
  • Genomics England
    Open Source Manager
    Genomics England Jun 2023 - Dec 2023
    As Open Source Manager I was in charge of leading link23, an Open initiative to create and curate tools for genomic equity. In the role I created a strategy for sustainability and community building, structured the project around core pillars for different communities, and co-developed legal documents for interacting with the open source project.
  • Dsrm Consulting
    Senior Data Science Consultant T/A Dsrm Consulting
    Dsrm Consulting Aug 2014 - Oct 2023
    London, United Kingdom
    I consult on a range of data science research and management (DSRM) services including: bespoke machine learning models, drawing insights from data using classical Statistics and machine learning, toolbox design and implementation with R and Julia, project management for small and large data science projects, design and implementation of automated CRMs, visualisation, GDPR compliance assessments and more.Currently working with DFKI and LMU Munich.Past projects include:• Machine learning and time-series forecasting for predicting customer churn• Consulting on and implementing supervised-learning models to predict and prevent customer churn• Supervised learning to determine causality between surgery and recovery times• Designing and building data systems using cloud-based solutionsPast clients include LEGO, Nuffield Health and ISEH.
  • Wellcome Trust
    Technology Manager
    Wellcome Trust Nov 2021 - Aug 2023
    I was part of the Digital Technology team within Data for Science and Health. I identified opportunities and manage projects focusing on Infectious Diseases (primarily AMR and drug discovery) as well as emerging technologies that can tackle urgent health challenges.I also designed and launched the inaugural Wellcome Data Science Ideathon, which saw 90 participants competing in teams to win up to £120,000.
  • University Of Kaiserslautern
    Postdoctoral Fellow
    University Of Kaiserslautern Sep 2021 - Dec 2022
    Based in the Department of Computer Science. I researched machine learning applications in survival analysis with an emphasis on fairness and evaluation. I also assisted in building the lab, setting technical tasks and conducting interviews.
  • University Of Cambridge
    Research Associate
    University Of Cambridge May 2022 - Oct 2022
    Whilst at Cambridge I focused my research on building software packages in Julia that can be integrated with aligned packages in R.
  • The Alan Turing Institute
    Researcher
    The Alan Turing Institute Aug 2019 - Oct 2019
    I worked as part of a 4-member analyst team on a machine learning project for Roche analysing non small-cell lung cancer data. My contributions included: data cleaning and organisation, classification predictions, and survival analysis. The results of this contract helped Turing secure a long-term partnership with Roche.
  • The Alan Turing Institute
    Visiting Researcher
    The Alan Turing Institute Jun 2017 - Aug 2019
    Whilst a visiting researcher at the Alan Turing Institute, I focused on research relating to churn prediction with survival analysis and reductions with off-the-shelf binary classifiers.
  • Nuffield Health
    Data Science Intern
    Nuffield Health Jun 2017 - Sep 2017
    Working in collaboration with The Alan Turing Institute, UCL and Microsoft I built machine learning models for time-to-event and churn modelling. This project required Microsoft Azure for data-handling and model implementation. I was coding in R for machine learning and SQL for pre-processing.
  • Free2Learn
    System Project Manager
    Free2Learn Oct 2016 - Feb 2017
    Principle duties were to design, implement and manage financial and administrative management systems, built in Salesforce.By utilising automation I smoothed out every-day tasks including sales through the till, monitoring outstanding contracts and managing employee productivity.The system was also capable of distinguishing between the many nuances of VAT and identifying the correct codes and formulas based on data-validated user forms.Additionally I performed accounts duties including credit control, reconciliations and scheduling supplier payments.
  • Free2Learn
    Accounts Assistant
    Free2Learn Apr 2016 - Sep 2016
    • Registering, updating and controlling transactions for sales and purchase orders using QuickBooks Pro.• Bank reconciliations for all accounts.• Calling suppliers and customers to discuss payments as necessary
  • The Koppel Project
    Gallery Administrator
    The Koppel Project Mar 2016 - Sep 2016
    Carry out day-to-day administrative tasks including:• Liaising with the accounts team.• Updating contracts & policies.• Keeping in contact with customers for any and all miscellaneous queries.• Discussing & implementing management solutions with the Creative Director.
  • Telecom Plus Plc
    Recruitment Assistant
    Telecom Plus Plc Apr 2015 - Jun 2015
    Primary duties included:• Reading over 2,000 CVs and selecting those worthy of further consideration.• Conducting telephone interviews and selecting candidates for face to face interviews.• Assisting in the organisation & running of assessment centres.Additionally, I worked closely with the financial controller and CFO of the company to create a spreadsheet in Excel that allowed me to compare and analyse approximately 1,000,000 data cells held in non-compatible databases.
  • Caxton Fx
    Fx Analyst
    Caxton Fx Sep 2014 - Mar 2015
    Principal duties included:• Producing daily, weekly and monthly currency reports for distribution to approximately 10,000 subscribers.• Producing bespoke currency reports for individual major clients.• Providing telephone briefing of clients on currency movements and outlooksAdditionally I devised various Excel spreadsheets including:• Several graphic based interfaces for marketing• An automated program to live-update cross exchange rates for exotic currencies• A worksheet for use by the currency traders to monitor outstanding client positions on forward contracts.

Raphael Sonabend Skills

Python R Machine Learning Statistics Statistical Data Analysis Big Data Data Analysis Research Analytical Skills Sql Java Sas Visual Basic For Applications Microsoft Office Microsoft Word Salesforce.com Databases Quickbooks Management Data Science

Raphael Sonabend Education Details

Frequently Asked Questions about Raphael Sonabend

What company does Raphael Sonabend work for?

Raphael Sonabend works for Nice - National Institute For Health And Care Excellence

What is Raphael Sonabend's role at the current company?

Raphael Sonabend's current role is Scientific Adviser.

What is Raphael Sonabend's email address?

Raphael Sonabend's email address is r.****@****l.ac.uk

What schools did Raphael Sonabend attend?

Raphael Sonabend attended Ucl, Ucl, University College School, Harvard Medical School, Harvard Medical School.

What are some of Raphael Sonabend's interests?

Raphael Sonabend has interest in Animation, Skiing, Saxophone.

What skills is Raphael Sonabend known for?

Raphael Sonabend has skills like Python, R, Machine Learning, Statistics, Statistical Data Analysis, Big Data, Data Analysis, Research, Analytical Skills, Sql, Java, Sas.

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