2023 Program
Day 1 | Open Source
Tuesday, October 3
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Open-Source Update: Spark NLP, NLP Lab, and LangTest
David Talby – CTO at John Snow Labs
12:25 pm ET – 12:45 pm ET
Ray Aviary: Open-Source Multi-LLM Serving
Waleed Kadous – Chief Scientist at Anyscale
12:45 pm ET – 1:05 pm ET
Generative AI & LLM Models in the Banking Industry
Supriya Raman – VP Data Science at JPMorgan
1:05 pm ET – 1:25 pm ET
The Weaviate Vector Search Engine
Bob Van Luijt – CEO & Co-Founder at Weaviate
1:25 pm ET – 1:45 pm ET
Chroma: An Open-Source Embedding Database
Anton Trynikof – Founder at Chroma
2:00 pm ET – 2:30 pm ET
Building a Smart Safety Data Sheet Parser Using NLP Lab
Alin Blidisel – Technical Team Lead at Wisecube
Patrick Salomé – Co-Founder and Chief Product Officer at BluePallet
Taming a T-Rex: A Survival Guide for Dealing with Large Language Models
Yuval Belfer – Developer Advocate at AI21 Labs
What’s New in Stanford NLP and Stanza
John Bauer – Research Engineer at Stanford
2:35 pm ET – 3:05 pm ET
Identifying Patterns of Racial Discrimination through Natural Language Processing
Chreston Miller – PhD, Assistant Professor at Virginia Tech
Customizing GPT Models for Domain-Specific NLP Tasks: Techniques for Fine-tuning and Adaptation
Swagata Ashwani – Data Science Lead at Boomi
From Text to Insights: Empowering NLP Models for Document QA with Generative AI
Carlos Rodríguez Abellán – Lead NLP Engineer at Fujitsu
3:10 pm ET – 3:40 pm ET
Adapting LLM & NLP Models to Domain-Specific Data 10x Faster with Better Data
Yash Sheth – Co-Founder at Galileo
Franz Keller – Platform Lead at Galileo
Christian Kasim Loan – Lead Data Scientist at John Snow Labs
Taming the Large language models – Efficient inference of Multi-billion parameter models
Logesh Kumar Umapathi – Lead Machine learning Research Engineer at Saama Technologies
Similarity Analysis of global chemical product labels
Thomas Kranzkowski – Senior Data Science Consultant at Woodmark Consulting AG
3:45 pm ET – 4:15 pm ET
Explainable Data Drift for NLP
Shir Chorev – Co-founder & CTO at Deepchecks
Cooking with the Semantic Kernel: Recipes for Building Chatbots, Agents, and more with Large Language Models
Alex Chao – Senior Product Manager at Microsoft
NLP Applications for Scientific Review Assistance
Stephen Ho – Data Scientist at Leidos
Day 2 | Healthcare
Wednesday, October 4
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Beyond QA: A Multifaceted Evaluation of John Snow Labs’ Medical Chatbot
Veysel Kocaman – Head of Data Science (Healthcare) at John Snow Labs
12:25 pm ET – 12.45 pm ET
Text-Prompted Cohort Retrieval: Leveraging Generative Healthcare Models for Precision Population Health Management
Dave DeCaprio – CTO & Co-founder at ClosedLoop
Shay Sayed – Principle Solutions Engineer at ClosedLoop
12:45 pm ET – 1:05 pm ET
Harnessing Causality, Encoded Clinical Knowledge, and Transparency: How Ronin Enables Personalized Decisions for Cancer Patients
Christine Swisher – Chief Scientific Officer at Project Ronin
1:05 pm ET – 1:25 pm ET
Using Healthcare-Specific LLM’s for Data Discovery from Patient Notes & Stories
R. Spencer Schaefer – Chief Health Informatics Officer at Kansas City VAMC – Department of Veteran Affairs
1:25 pm ET – 1:45 pm ET
Lessons Learned Applying Large Language Models in Healthcare
David Talby – CTO at John Snow Labs
2:00 pm ET – 2:30 pm ET
CONAN: A Semantic Search System for Contract Analytics
Harsha Gurulingappa – Head of Text Analytics at Merck Group
Alberto Oteo Garcia – Data Scientist at Merck Group
Luis Gehrmann – Data and Analytics Architect at Merck Group
In the GPT Jungle: Lessons Learned from Using LLMs in the Wild in Healthcare
Itay Zitvar – Software engineering team lead (NLP) at Hyro
Beyond Black-and-White Data – How Large Language Models are Unlocking the Full Spectrum of Nuances in Patient Care
Durga Borkar – MD, MMCi, Medical Advisor at Verana Health
2:35 pm ET – 3:05 pm ET
Using NLP to Identity the Emotional State of Patients at Different Stages of a Disease Journey
Romain Bogaerts – Director of AI Product Management at Real Chemistry
Automatic Extraction of Structured Information from Genomic Reports
Pavithra Rajendran – Senior Data Scientist at Great Ormond Street Hospital NHS Trust
Natural language processing to describe eConsult telehealth requests: Clinical question and specialist response
Stephanie Grim – Health Care Researcher at University of Colorado
3:10 pm ET – 3:40 pm ET
Using Real-World Data to Better Understand Inflammatory Bowel Disease (IBD)
Dr. Gary Curhan – CMO at OM1
Ryan Boch – Senior Software Engineer at OM1
The potential of Large Language Models for Revolutions in Healthcare
Nafiseh Mollaei – Postdoc at Loyola University Chicago
Simple and Practical NLP Applications in Healthcare
Sonali Tamhankar – Senior Clinical Data Scientist in Enterprise Analytics department at Fred Hutchinson Cancer Center in Seattle
3:45 pm ET – 4:15 pm ET
Identifying mental health concerns, subtypes, temporal patterns, and differential risks among children with Cerebral Palsy using NLP on EHR data
Surbhi Bhatnagar – Postdoctoral Research Fellow at Cincinnati Childrens Hospital
A Deeper Look at Med Palm II, Midjourney and ChatGPT in Healthcare
Harvey Castro – Author of ChatGPT Healthcare
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning
Yizhen Zhong – ML Scientist at Freenome
Day 3 | Applications
Thursday, October 5
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Generative AI Features in the Free No-Code NLP Lab
Dia Trambitas – Head of Product at John Snow Labs
12:25 pm ET – 12:45 pm ET
What’s so hard about training and deploying LLMs?
Davis Blalock – Research Scientist at MosaicML by Databricks
12:45 pm ET – 1:05 pm ET
Unlocking the Potential: Assessing Open-Source Large Language Models for the Insurance Industry
Ke Ji – Senior Lead Data Scientist at American Family Insurance
1:05 pm ET – 1:25 pm ET
Unstructured Open-Source ETL for LLMs
Matthew Robinson – Engineering Lead at Unstructured Technologies
1:25 pm ET – 1:45 pm ET
Legal & Regulatory Challenges in Applying Generative AI
Andrew Burt – Co-founder & Managing Partner at Luminos.Law
2:00 pm ET – 2:30 pm ET
LLM and Foundational Models in Ads Ranking
Aayush Mudgal – Senior Machine Learning Lead at Pinterest
Leveraging Large Language Models for Customer Service and Support Transformation
Lovedeep Saini – Data Science Manager at Arthur J Gallagher
Emotion Detection in Speech
Dishant Banga – Sr Data Analyst at Bridgetree
2:35 pm ET – 3:05 pm ET
Unlocking Visual Creativity: Harnessing Large Natural Language Models to Convert Human Language into Graphical Representations
Fatema Nafa – Professor at Salem State University
Building Robust and Scalable Intelligent Writing Assistants: Challenges and Opportunities
Vipul Raheja – Applied Research Scientist at Grammarly
Investigation of LLMs for Financial Use Cases
Neelesh Shukla – Senior Manager – Principal AI Scientist at State Street Corporation
3:10 pm ET – 3:40 pm ET
Computational Linguistic Analysis of Engineered Chatbot Prompts
Michelle Banawan – Asst Professor and Academic Program Director at Asian Institute of Management
The Use of NLP Agents: Acciona Use Cases, Challenges, and Achievements
Miguel Ángel Rodríguez López – Data & IA Manager at Digital Hub Acciona
Natural Language Processing for Materials Science
Zongrui Pei – Senior Staff at NYU
3:45 pm ET – 4:15 pm ET
Using Vector Databases to Scale Multimodal Embeddings and Search
Zain Hasan – Senior ML Developer Advocate at Weaviate
Vision-Based Automatic Groceries Tracking System – Smart Homes
Divya Mereddy – Data Scientist at Ascena Retail
