John Snow Labs’ Editorial Policy

Last updated: November 30, 2024

At John Snow Labs, our blog is more than just a resource for sharing insights. It serves to promote and implement AI-driven solutions that help improve business outcomes – without compromising ethical standards or causing harm. Our focus is on creating content that is not only informative but also practical, providing readers with expert-backed advice they can trust and apply in real-world healthcare and business contexts.

Our Voice

John Snow Labs is a team of experts specializing in artificial intelligence in the healthcare domain, our collective experience spans multiple industries. Through our blog, we help businesses thrive by sharing tools and insights designed to make healthcare more efficient, patient-centred, and aligned with ethical AI principles. Our voice reflects our dedication to clarity, professionalism, and a steadfast commitment to responsible AI usage.

Our Principles

When writing articles, we adhere to a core set of principles:

Expertise: Every article is written or reviewed by professionals with deep knowledge in their field. Each piece undergoes a rigorous peer-review process to ensure its accuracy and reliability. Our readers can trust that the information provided comes from those with real expertise in AI and healthcare.
Usefulness: We believe in sharing knowledge that is immediately applicable. Our articles are not theoretical musings; they come from real-world applications of AI in healthcare and business.
Ethical Standards: AI can potentially transform industries, but with this power comes responsibility. We are committed to the ethical use of AI and ensure that every article aligns with industry best practices. We advocate for the responsible deployment of technology and encourage our peers to adhere to the same high ethical standards.
Impartiality: Objectivity is vital to maintaining trust. Our content is free from bias related to nationality, politics, religion, or gender. It’s central to our editorial process, and we strive to provide unbiased, objective information that benefits all readers.

Our Editorial Process

Our editorial process is designed to ensure that every article published on the John Snow Labs blog is of the highest quality in terms of content and presentation. Here’s how we maintain these standards:

Thorough Research: Each article is thoroughly researched and based on the most recent evidence-based information. We prioritize accuracy and relevance when discussing advancements in healthcare AI or practical business applications.
Expert Interviews & Reviews: Our articles are informed by our team’s own experience in the field. Every article is reviewed by an AI expert from John Snow Labs to ensure factual accuracy before publication.
Transparency: We believe that readers should have access to the sources of the information we provide. That’s why we link directly to the research and sources to allow readers to verify the data.
Myth Busting: Misinformation, especially in healthcare, can lead to serious harm. Our mission is to clear up common misconceptions by offering well-researched, science-backed insights you can trust.
Proofreading and Accessibility: Our proofreading team reviews every piece to eliminate errors and ensure the content is clear, concise, and accessible to a broad audience. We en sure even the most complex healthcare AI topics are broken down into understandable and engaging formats.
Regular Updates: The healthcare and AI fields are constantly evolving. To ensure our content stays relevant, we date all our articles and periodically review them to reflect the latest developments. If readers spot inaccuracies or have questions, they are encouraged to contact us.

By maintaining these editorial standards, we aim to be a trusted source of knowledge in healthcare AI, providing content readers can rely on for innovation and practical solutions.

Alberto Andreotti

Senior data scientist on the Spark NLP team

Alberto Andreotti is a senior data scientist on the Spark NLP team at John Snow Labs, where he implements state-of-the-art NLP algorithms on top of Spark. He has a decade of experience working for companies and as a consultant, specializing in the field of machine learning. Alberto has written lots of low-level code in C/C++ and was an early Scala enthusiast and developer. A lifelong learner, he holds degrees in engineering and computer science and is working on a third in AI. Alberto was born in Argentina. He enjoys the outdoors, particularly hiking and camping in the mountains of Argentina.(...)

Ali Naqvi

Lead product manager of the AI Platform

Ali Naqvi is the lead product manager of the AI Platform at John Snow Labs. Ali has extensive experience building end-to-end data science platform & solution for the healthcare and life science industries, using modern technology stacks such as Kubernetes, TensorFlow, Spark, mlFlow, Elastic, Nifi, and related tools. Ali has a Master’s degree in Molecular Science and over a decade of hands-on experience in software engineering and academic research.(...)

Anber Arif

Data Scientist at John Snow Labs

Anber Arif is a Data Science and an AI enthusiast who has always been fascinated by the power of data to drive insights and make informed decisions. She started her journey in Data Science during her undergraduate studies in Software Engineering, where she took courses in Statistics and Machine Learning. She deepened her knowledge in the field and worked on various projects in Artificial Intelligence, Natural Language Processing, and Computer Vision. Apart from that, Anber is an experienced technical writer and has a proven track record of creating clear, concise, and accurate technical content for a variety of audiences and industries. She has worked on user manuals, technical guides, API documentation, and more. She is working as an AI copywriter at John Snow Labs. She has excellent communication skills and is able to work closely with software developers, product managers, and other stakeholders to ensure that the documentation is accurate, comprehensive, and meets the needs of the users.(...)

Ph.D. Andrei Feier

Lead of John Snow Labs Medical Annotators Team

Andrei Feier is a junior Orthopedic Surgeon and the Lead of John Snow Labs Medical Annotators Team. He is a Machine Learning enthusiast with a vast experience in Named Entity Recognition annotations for the healthcare domain. He has over 3 years of experience working on customer-facing projects on human and veterinary data extraction & analysis. He also holds a Ph.D. degree in General Medicine.(...)

Ben Lorica

Founder at Gradient Flow

Ben Lorica is founder at Gradient Flow. He is a highly respected data scientist, having served leading roles at O’Reilly Media (Chief Data Scientist, Program Chair of the Strata Data Conference, O’Reilly Artificial Intelligence Conference, and TensorFlow World), at Databricks, and as an advisor to startups. He serves as co-chair for several leading industry conferences: the AI Conference, the NLP Summit, the Data+AI Summit, Ray Summit, and K1st World. He is the host of the Data Exchange podcast and edits the Gradient Flow newsletter.(...)

David Talby

Chief technology officer at John Snow Labs

David Talby is a chief technology officer at John Snow Labs, helping healthcare & life science companies put AI to good use. David is the creator of Spark NLP – the world’s most widely used natural language processing library in the enterprise. He has extensive experience building and running web-scale software platforms and teams – in startups, for Microsoft’s Bing in the US and Europe, and to scale Amazon’s financial systems in Seattle and the UK. David holds a PhD in computer science and master’s degrees in both computer science and business administration.(...)

David Cecchini

Data Scientist at John Snow Labs

Ph.D. at Tsinghua-Berkeley Shenzhen Institute | Data Scientist(...)

Dia Trambitas, Ph.D.

Ph.D. in Computer Science – Head of Product

Dia Trambitas is a computer scientist with a rich background in Natural Language Processing. She has a Ph.D. in Semantic Web from the University of Grenoble, France, where she worked on ways of describing spatial and temporal data using OWL ontologies and reasoning based on semantic annotations. She then changed her interest to text processing and data extraction from unstructured documents, a subject she has been working on for the last 10 years. She has a rich experience working with different annotation tools and leading document classification and NER extraction projects in verticals such as Finance, Investment, Banking, and Healthcare.(...)

Ida Lucente

Marketing Communications Lead at John Snow Labs

Marketing Communications Lead at John Snow Labs. Experienced Branding, Marketing Strategy and Communications with a demonstrated history of working in the marketing and advertising industry. For media inquiries: Ida Lucente John Snow Labs ida@johnsnowlabs.com (...)

Kateryna Lee

Head of Digital Marketing

Kateryna Lee is a Head of Digital Marketing at John Snow Labs.(...)