Healthcare NLP Summit

Free Online Event | April 2-3, 2024

Presented by

Applied Natural Language Processing in Healthcare

Join the world’s largest applied NLP community at the virtual Healthcare NLP Summit 2024! Two days of immersive content, focusing on generative AI and natural language processing applications in healthcare and life sciences. Now in its fourth 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

David Talby

David Talby

CTO
at John Snow Labs

Nicoleta Economou-Zavlanos

Nicoleta Economou-Zavlanos

Algorithm-Based CDS Oversight Director at Duke University School of Medicine

Yanshan Wang

Yanshan Wang

Vice Chair of Research and Assistant Professor in Health Informatics, University of Pittsburgh

Hoifung Poon

Hoifung Poon

General Manager, Microsoft Health Futures

Amani Namboori

Amani Namboori

Applied Scientist at Amazon

Mike Schaekermann

Mike Schaekermann

Research Scientist at Google

Yinxi Zhang

Yinxi Zhang

Staff Data Scientist at Databricks

Dylan Wagenseller

Dylan Wagenseller

Senior Data Architect at Intermountain Health

Veysel Kocaman

Veysel Kocaman

Head of Data Science at John Snow Labs

Chen Shani

Chen Shani

Postdoc at Stanford

Thirupathi Pattipaka

Thirupathi Pattipaka

Director, DataScience & AI at Novartis Pharma AG

Alice Chung

Alice Chung

Sr. Analytics Manager at Genentech

Corinne Stroum

Corinne Stroum

Director, Consumer Experience & Insights at SCAN Health Plan

Dusan Milovanovic

Dusan Milovanovic

Readiness Intelligence Consultant at WHO

Fiona Kiernan

Fiona Kiernan

Chief Economist at Care-Connect

Christian Debes

Christian Debes

Co-Founder, Head of Data Analytics & AI at Spryfox GmbH

Mwisa Chisunka

Mwisa Chisunka

Head of Government Programs at John Snow Labs

Sam Schifman

Sam Schifman

Principal Architect for Innovation at Availity

Sonali Tamhankar

Sonali Tamhankar

Sr. Clinical Data Scientist at Fred Hutchinson Cancer Center

Moshe Wasserblat

Moshe Wasserblat

NLP Research manager
at Intel

Ryan Tan

Ryan Tan

Consultant at National Cancer Centre Singapore

Dia Trambias

Dia Trambias

Head of Product
at John Snow Labs

Zain Hasan

Zain Hasan

Senior ML Dev Advocate
at Weaviate

Daniel Koppers

Daniel Koppers

Head of R&D at PhlexGlobal
a Cencora Company

Jason Hotchkiss

Jason Hotchkiss

Psychologist, Professor at Cornerstone University

Ofer  Mendelevitch

Ofer Mendelevitch

Head of Developer Relations at Vectara

Zarmeen Nasim

Zarmeen Nasim

Senior Instructor
at Aga Khan University

Robert Korom

Robert Korom

Chief Medical Officer
at Penda Health

Sagar Goyal

Sagar Goyal

Senior NLP Engineer
at DeepScribe Inc.

Arash Kia

Arash Kia

Director, Clinical Data Science at Mount Sinai Health System

Jacob Wilson

Jacob Wilson

GenAI Commercial CTO
at PwC

Philip Ballentine

Philip Ballentine

Sr Director, Data Engineering
at Atropos Health

William Wagner

William Wagner

Sr. Product Manager
at Blue Cross

Davit Shahnazaryan

Davit Shahnazaryan

Head of Research at Amaros AI, Lecturer at YSU

Walter Silva Martins-Filho

Walter Silva Martins-Filho

Senior Data Scientist at Neuralmed

Ali Lazim

Ali Lazim

CEO at Medixbot

Carlos Rodriguez

Carlos Rodriguez

GenAI & NLP Practice Lead
at Fujitsu

Thomas Kranzkowski

Thomas Kranzkowski

AI Cloud Engineering Consultant at CLOUDETEER

Mateus Cichelero

Mateus Cichelero

Analytics & AI Team Lead at Munai Health

Rosh Singh

Rosh Singh

CTO at Cozeva – Applied Research Works

Eti Rastogi

Eti Rastogi

Senior NLP Engineer
at DeepScribe Inc.

About

The NLP Summit is the gathering place for those putting state-of-the-art natural language processing to good use. This third edition of the virtual conference showcases NLP best practices, real-world case studies, challenges in applying deep learning & transfer learning in practice – and the latest open source libraries, models & transformers 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 LLM

      Participating Companies

      Register for

      Healthcare NLP Summit 2024

      When

      Online Event | April 2-3, 2024

      Contact

      nlpsummit@johnsnowlabs.com

      Presented by