Healthcare NLP Summit
Free Online Event | April 1-2, 2025
Presented by
Applied Natural Language Processing in Healthcare
Join the world’s largest applied NLP community at the virtual Healthcare NLP Summit 2025! Two days of immersive content, focusing on generative AI and natural language processing applications in healthcare and life sciences. Now in its fifth year, the Healthcare NLP Summit will feature
30+ keynotes and expert sessions showcasing LLM & NLP best practices, real-world use cases, challenges in applying these technologies in practice – and the latest open-source libraries, models & tools you can use today. Join live Q&A sessions with the speakers, connect with others through networking features, and access all content on-demand after the event.
The second week will feature beginner to advanced live training workshops and certifications. Learn, share, and apply best practices for putting AI to good use!
“Brilliant event with a fantastic variety of topics and great speakers!”
“It was awesome!”
“The event was wonderful thanks for everything.”
“Really enjoyed the look of the conference, nicer flow than other virtual technical events I’ve attended.”
Excellent and informative sessions
“The virtual summit was really helpful. It was great opportunity to learn and interact at the comfort of our home.”
“YOU WERE GREAT! THE BEST SUMMIT!!!” – Clinical Effectiveness Analyst at Pieces
“Absolutely outstanding talks!” – Senior Data Scientist at Fitch Ratings
“My sincere thank you for having me as a speaker at the NLP Summit! It has been a wonderful experience and I had many people from my team/company who learned a lot from the talks. Thank you for this platform.” – Head of Data Science at Brillio
“Amazing job on organising such a fantastic event, congrats! The talk was very enjoyable and it was great to see the audience engage with questions.” – Machine Learning Research Engineer at Hugging Face
“Thank you very much! I love this event. Congratulations!” – Computer Science Engineering Student
Confirmed Speakers
Krishnaram Kenthapadi
Chief Scientist, Clinical AI at Oracle Health AI
David Talby
CTO
at John Snow Labs
Shreya Rajpal
Co-Founder & CEO at Guardrails AI
Yishay Carmiel
Founder & CEO at Meaning
Veysel Kocaman
Head of Data Science at John Snow Labs
Sahar Kazemzadeh
Software Engineer, Health AI at Google Research
Andreas Steiner
Research Engineer at Google DeepMind
Michael Ash
Director and Co-Founder at FunctionalMind
Dia Trambitas
Head of Product
at John Snow Labs
Vickie Reyes
Chris Markson
Data Science Senior Manager at Evernorth
Shravan Koninti
Associate Director – DSAI at Novartis
Jonathan McCoy
Co-Founder & CEO at vCare Companion
Devdatta Narote
Staff Data Scientist at Genentech
Ina Burgstaller
Founder & Director at Bionabu
Nicolay Rusnachenko
Research Fellow at Bournemouth University
Yasmin Karsan
Company Clinical Safety Officer and Founder at Digital Clinical Safety
Yee Ang
Consultant at National Healthcare Group
Jabeen Fayyaz
Associate Professor, The Hospital for Sick Children
Molly Maskrey
Senior Data Scientist at Forte Analytics
Vasantha Kumar Venugopal
Adjunct Professor & Chief Medical Officer at School of AI, Amrita Vishwapeetham & CARPL.ai
Kais Zhioua
CEO/Co-Founder at Tanit Healthcare Technologies
Somya Rai
Principal AI Architect at EXL
Ashish Kudaisya
Vice President of Digital Transformation at EXL
Ying Ding
Bill & Lewis Suit Professor at School of Information, Dell Medical School, University of Texas at Austin
Beau Tse
Partner Solutions Architect at Amazon Web Services
Shubanshu Dixit
Solutions Architect
at John Snow Labs
Ravi Kiran Koppichetti
at
Ritwik Jain
at John Snow Labs
Hasham Ul Haq
Sr Machine Learning Engineer
at John Snow Labs
Chris Haddad
Machine Learning Solutions Architect at Amazon
Jonathan Gold
Director of Clinical Informatics at innoVet Health
About
The NLP Summit is the gathering place for those putting state-of-the-art natural language processing and large language models to good use. This fifth edition of the virtual conference showcases AI best practices, real-world case studies, challenges in applying Generative AI in practice – and the latest open-source libraries, models & tools you can use today.
Topics Covered
- Information extraction from natural language documents
- Clinical natural language understanding
- Applying large language models in healthcare
- Building knowledge graphs from large document repositories
- RAG LLM tools, applications, and best practices
- Multi-modal AI in medicine
- Responsible AI tools & benchmarks
- Compute and cost-efficient scaling of LLMs
Participating Companies
