Samuel Tonks (He/Him) phone numbers
Computer Science PhD student at The University of Birmingham finishing in November 2024. My research is focused on the application of generative modelling approaches to multimodal image-to-image translation methods for bioimaging tasks such as, virtual staining. Previously worked as a Data Scientist at GSK focused on designing E2E ML pipelines for time series forecasting after completing GSK's Future Leaders Program.Recent publications at ISBI 2023, WACV23 and incoming ECCV Bio Computng workshop submission.https://samueltonks.com/
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University Worker Phd - Gsk BioimagingGsk Oct 2020 - Dec 2024Stevenage, England, United KingdomGSK sponsored PhD program studying full-time at the Computer Science Institute at the University of Birmingham in collaboration with GSK Pharma Bioimaging Analytics.Focused on the industrial application of multimodal image-to-image translation for virtual staining applications in high content imaging. -
Data ScientistGsk Jun 2018 - Oct 2020London, United KingdomContinuous involvement with E-commerce improving data and analytics ways of working, driving projects ranging from improvements in the extraction, transformation and exploration of all UK & Ireland E-commerce data, working with category teams to understanding long-term trends, retailer and brand behaviours and infer from our data.Developed and implemented a range of traditional and machine learning methodologies such as ARIMA for brand forecasting and a range of LSTM's for category forecasting as part of an E2E ML pipeline. -
University Worker Msc - Gsk BioimagingGsk Sep 2019 - Sep 2020London, England, United KingdomAs part of my MSc thesis titled "Label free segmentation for live-cell tracking using deep learning" I worked within the GSK Bioimaging deep learning research group under Minh Doan. Implementing end-to-end pipeline for instance segmentation. Addressing challenges in training data generation through transfer learning and improving out of sample performance using curriculum learning. Improved automation for instance segmentation and object tracking for label-free time-lapse cellular microscopy, using a combination of Generative Adversarial Network and Mask R-CNN algorithms. -
Teaching Assistant On Dl@MblMarine Biological Laboratory Jul 2024 - Sep 2024Woods Hole, Massachusetts, United StatesDeep-learning for Microscopy Image Analysis course. Providing knowledge and support across a broad spectrum of computer vision domains. Designing exercises to enable attendees to understand both the theory and how to apply SOTA generative modelling approaches to image translation on their own use cases. -
Core DeveloperThe Alan Turing Institute Feb 2024 - Sep 2024London Area, United KingdomCore developer of Scivision -
Computer Science Teaching AssistantUniversity Of Birmingham Sep 2021 - Jul 2024United KingdomTeaching a range of Computer Science undergraduate and postgraduate students on the following modules:1. Data Structures & Algorithms2. Artificial Intelligence 3. Computer Vision & Imaging4. Neural Computation 5. Software Engineering & Professional Practise -
Phd Enrichment StudentThe Alan Turing Institute Oct 2022 - Oct 2023LondonCore developer of Scivision Presented Scivision at AIUK 2023 for the first ever Pitchfest. Independently facilitated a full day workshop encompassing key note speakers, lightning talks and a round table discussion on the topic of ‘Uncertainty Quantification for Generative Modelling’.oreore -
Technical Associate - Global Application & Development TechGsk Jan 2017 - May 2018London, United KingdomLead the design and delivery of a new SAP Penetration Testing framework across GSK Global single-track ERP instance.Robotic Process Automation : Part of the Global team who established and ran the Center Of Excellence for GSKs enterprise wide RPA strategy. -
AnalystDoctor Care Anywhere Jan 2016 - Dec 2016London, United KingdomDoctor Care Anywhere are a digital healthcare company offering virtual GP consultations and health tracking applications. Responsibilities include: Data exporting, manipulation and conversion in order to support a range of client set-ups. Delivery of Data analysis and reporting (e.g. ad-hoc requests) using a combination of Excel, FetchXML, SQL and Power BI. Customising and administering Microsoft Dynamics to support back-office and “product” requirements.Supporting business improvement activities such as lean/ six-sigma and ISO accreditation. -
Sales Account ManagerNovatech Jan 2014 - Nov 2015Portsmouth, England, United KingdomDesign complex IT solutions for a broad range of commercial client needs. Pitch, solutions to technical and non-technical audiences. Provide technical advice during the design, delivery and post go-live of solution implementations.Successfully developed a core set of new clients to meet sales targets by implementing solutionsthat were fit for the client's needs. Awarded Newcomer of the Month. Attended sales training based on ”Seven Habits of Highly Effective People” principles, focused on building client relationships.
Samuel Tonks (He/Him) Skills
Samuel Tonks (He/Him) Education Details
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Computer Science -
Distinction -
1St Class Honours
Frequently Asked Questions about Samuel Tonks (He/Him)
What is Samuel Tonks (He/Him)'s role at the current company?
Samuel Tonks (He/Him)'s current role is Ph.D. Candidate Computer Science | Generative Modelling | Computer Vision | Bioimaging | AI Trustworthiness.
What is Samuel Tonks (He/Him)'s direct phone number?
Samuel Tonks (He/Him)'s direct phone number is +44 20 8047*****
What schools did Samuel Tonks (He/Him) attend?
Samuel Tonks (He/Him) attended University Of Birmingham, Imperial College London, University Of Portsmouth.
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Samuel Tonks (He/Him) has interest in Music Especially Vinyl, Football (Chelsea Fc), Cooking And Martial Arts, Music And Vinyl, Disco/funk/soul And Hip Hop.
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Samuel Tonks (He/Him) has skills like Account Management, Leadership, Sales, Team Leadership, Teamwork, Customer Service, Negotiation, Business Strategy, Problem Solving, Research, Call Centers, Team Management.
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