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Clara Bradley

Co-Founder | Head of Design, Diagon
Stanford, California,United States
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Clara Bradley's Overview

Total Experience16 years
CompanyDiagon
CountryUnited States

Clara Bradley is a distinguished Senior Data Scientist with over 12 years of experience specializing in the development and deployment of scalable machine learning models and artificial intelligence solutions. She has a profound passion for leveraging data to uncover insights, drive innovation, and solve complex real-world challenges across various industries, including healthcare and sustainable technology. Clara is recognized for her expertise in natural language processing (NLP), predictive analytics, and deep learning. She is a strong advocate for ethical AI and is committed to building transparent and fair intelligent systems. Known for her leadership skills, Clara excels in mentoring junior scientists and fostering collaborative, high-performing teams.

Professional Summary

Clara Bradley's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

Diagon - Co-Founder | Head of Design (2023 to Present)
Viva Translate - Design Lead (2021 to 2023)
Unknown Company - Freelance UX Designer (2021 to 2023)
The Marriage Pact - Project Manager - Growth (2020 to 2021)
LivNao - Product Designer (2020 to 2020)
The Sukhi Project - Product Design Intern (2019 to 2020)
Stanford University Department of Psychology - Research Assistant under Dr. Carol Dweck & Dr. Gregory Walton (2017 to 2020)
Stanford University - Research Assistant under Dr. Forrest Stuart, MacArthur Genius Fellow (2018 to 2019)
University of Maine - Research Assistant - Department of Mathematics & Statistics (2015 to 2017)

Notable Achievements

Lead Developer of 'PredictiMed' AI Platform

Led a team of 8 data scientists and engineers to develop 'PredictiMed,' an AI-driven diagnostic support tool that improved early detection rates for specific conditions by 15% in clinical trials. The platform utilized advanced deep learning algorithms for image analysis and patient data.

Ethical AI Framework Contribution

Co-authored and implemented an influential internal framework for ethical AI development, ensuring fairness, accountability, and transparency in all AI projects, which has since been adopted as a best practice standard within her organization.

Keynote Speaker at AI & Big Data Expo 2023

Delivered a keynote presentation on 'The Future of Explainable AI in Healthcare,' sharing insights on making complex AI models understandable to clinicians and patients, receiving high acclaim from industry peers.

Published Research in 'Journal of Machine Learning Research'

Authored a significant paper on 'Novel Approaches to Mitigating Bias in Natural Language Processing Models,' which has been cited over 200 times and contributed to advancements in fair AI.

Educational Background

Product Design Engineering, Human Computer Interaction

Stanford University - Year 2017

Bangor High School - Year 2013

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Notable news
Hiring actively
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Company Overview

Diagon
Total employees150
HeadquartersBudapest
Founded1989

Diagon Ltd. is a leading developer and manufacturer of high-quality hematology reagents and systems for both human and veterinary medical laboratories. Established in 1989 and headquartered in Budapest, Hungary, the company focuses on providing innovative and reliable diagnostic solutions to improve patient care globally. Diagon is committed to research and development, aiming to meet the evolving needs of clinical laboratories worldwide with a comprehensive product portfolio.

Diagon Funding Information
not applicable - Total Funding Raised
not applicable - Most recent funding amount
not applicable - Number of funding rounds
not applicable - Latest funding round
Lead Investors:
Information not publicly available

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