Program
Day 1
Tuesday, October 5
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Industry Survey Analysis: Natural language use cases in the industry in 2021
Paco Nathan – Evil Mad Scientist and Founder at Derwen AI
12:25 pm ET – 12:45 pm ET
Free & Open-Source Software from John Snow Labs: 2021 Update
David Talby – CTO at John Snow Labs
12:45 pm ET – 1:05 pm ET
Why & how to care about NLP ethics?
Clément Delangue – CEO at Hugging Face
1:05 pm ET – 1:25 pm ET
TLDR: Extreme Summarization of Scientific Documents
Isabel Cachola – PhD Researcher at Johns Hopkins University
1:25 pm ET – 1:45 pm ET
What’s new in Stanford NLP and Stanza
John Bauer – Software Engineering at Stanford University, Lead Stanza Maintainer
2:00 pm ET – 2:30 pm ET
Combining Computer Vision and NLP for democratizing AI for Healthcare during pandemic
Anusua Trivedi – Lead Scientist at AI for Good Research Lab at Microsoft
New Methods, Old Problems: Ethics and Bias in Modern Natural Language Processing
Benjamin Batorsky – Data Scientist at Ciox Health
Detection of potential patient harms from clinical notes in electronic healthcare records: The Shakespeare Method
Summer Rankin – Senior Lead Data Scientist at Booz Allen Hamilton
2:35 pm ET – 3:05 pm ET
Data Augmentation for Sequence Labeling. A Case Study in Food Parsing
Octavia Sulea – Machine Learning Engineer at FlexJobs
“Say it to Play it” – Spoken Language Understanding Challenges in Entertainment Domain
Nidhi Rajshree – Sr. Engineering Manager, Natural Language Understanding at Roku Voice
Accelerating NLP at scale with NVIDIA Triton, Seldon Core and Kubernetes
Alejandro Saucedo – Engineering Director (Machine Learning) at Seldon Technologies
3:10 pm ET – 3:40 pm ET
Predictive Maintenance by Intelligent Mining of Manufacturing Incidents Using Spark NLP
Angelina Maria Leigh – Data Scientist at Hitachi Solutions America
Fred Heller – Data Scientist at Hitachi Solutions America
Leveraging AI for Recruitment towards Economic Recovery
Keisuke Inoue – Lead Algorithm Data Scientist at PandoLogic
NLP techniques & applications for supporting Human Learning
Jinjin Zhao – Senior Machine Learning Scientist at Amazon
3:45 pm ET – 4:15 pm ET
Large-scale processing of social media data
Peter Krejzl – Head of Research at Socialbakers
NLP with RPA
Sishira Mishra – Automation Architect | Robotics Development Lead at HP
Day 2
Wednesday, October 6
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Modular Approach to Solve Problems at Scale in Healthcare NLP
Veysel Kocaman – Principal Data Scientist and ML Engineer at John Snow Labs
12:25 pm ET – 12.45 pm ET
Accelerating Biomedical Innovation by Combining NLP and Knowledge Graphs
Antoaneta Vladimirova – Applied Medical AI Lead at Roche RIS
Vishnu Vettrivel – Co-Founder & CTO at Wisecube
12:45 pm ET – 1:05 pm ET
Lessons Learned De-Identifying 700 Million Patient Notes with Spark NLP
Vivek Tomer – Principal Data Scientist at Providence St. Joseph Health
1:05 pm ET – 1:25 pm ET
Natural Language Processing: Analyzing Clinical and Mental Health Notes
Dr. Parisa Rashidi – Associate Professor at University of Florida
1:25 pm ET – 1:45 pm ET
Automated Classification and Entity Extraction from essential documents pertaining to Clinical Trials
Nirjhar Sarkar – Technical Design Expert at Novartis
Veysel Kocaman – Principal Data Scientist and ML Engineer at John Snow Labs
2:00 pm ET – 2:30 pm ET
NLP for parsing of medical reports
Swetha Tanamala – Data Scientist at Qure.ai
Understand Patient Experience Journey to Improve Pharma Value Chain
Harsha Gurulingappa – Head of Text Analytics at Merck KGaA
Adverse Drug Event Detection Using Spark NLP
Lawrence Rasouliyan – Head, Biostatistics and Data Science at OMNY Health
Vikas Kumar – Senior Data Scientist at OMNY Health
2:35 pm ET – 3:05 pm ET
NLP Clinical Ontology 101
Marcelo Tournier – Data Scientist at Apixio
A Real-time NLP-based Clinical Decision Support Platform for Psychiatry and Oncology
Arash Kia – Director, Clinical Data Science at Mount Sinai Health System
Automating a Streaming Pipeline with OCR on Databricks Lakehouse
Amir Kermany – Technical Director for Health & Life Sciences at Databricks
3:10 pm ET – 3:40 pm ET
Black Box AI? No Thanks!
Sergei Nirenburg – Professor of Cognitive Science, Professor of Computer Science Chair, Department of Cognitive Science
Use NLP to save lives? Yes, please!
Neta Snir – NLP Consultant
Automated question answering about clinical guidelines
Julio Bonis – Senior Data Scientist & Medical Doctor, John Snow Labs
3:45 pm ET – 4:15 pm ET
Extracting what, when, why, and how from Radiology Reports in Real World Data acquisition projects
Rajesh Jacob – Senior Technical Product Manager at GE Healthcare
Hasham Ul Haq – Data Scientist at John Snow Labs
Using NLP to Improve Radiologist Productivity & Reduce Burnout
Manisha Bafna – Vice President – Head of Data Science at CitiusTech
Building a Better Patient Chart: Combining structured, unstructured, and missing data
Sam Schifman – Chief Architect at Diameter Health
Day 3
Thursday, October 7
(All times are US Eastern Time)
12:00 pm ET – 12:25 pm ET
Visual NLP – Combining Computer Vision and Text Mining for Intelligent Document Processing
Dia Trambitas – Head of Product at John Snow Labs
12:25 pm ET – 12.45 pm ET
Adaptive Testing of NLP models
Marco Túlio Ribeiro – Senior Researcher at Microsoft Research
12:45 pm ET – 1:05 pm ET
Large Language Models and the Future of NLP
Connor Leahy – AI Researcher at Aleph Alpha GmbH
1:05 pm ET – 1:25 pm ET
NLP in Finance: Realities, Challenges, and Possibilities
Oana Frunza – VP of AI research, Machine Learning Research Department at Morgan Stanley
1:25 pm ET – 1:45 pm ET
NLP at DARPA
Eduard Hovy – Research Professor at the Language Technologies Institute at Carnegie Mellon University
2:00 pm ET – 2:30 pm ET
Zero-to-production: bootstrapping text-based AI applications with huge language models
Dan Padnos – VP Platform at AI21 Labs
Anonymizing and Mining Survey Comments Using NLP: A Lexical Chaining Approach
Bolo Peng – NLP Data Scientist at BlackRock
Applications of Distributed Natural Language Processing in Finance
Moody Hadi – Group Manager – Financial Engineering at S&P Global Market Intelligence
2:35 pm ET – 3:05 pm ET
NLP at Scale
Andrei Lopatenko – VP Engineering at Zillow
Leveraging NLP to Extract Insights from Customer Conversations
Dr. Swati Sharma – NLP Lead at Cedrus Digital
Continuous actionable insights from feedback data with topic modeling and sentiment analysis
Mojtaba Farmanbar – Senior Data Scientist at ING Nederland
3:10 pm ET – 3:40 pm ET
Alexa Conversations: An AI-driven Approach for creating Task-oriented Dialogue Systems
Sanaz Bahargam – Applied Scientist at Amazon Lab126
Serve banking customers by leveraging Natural Language Processing
Andy Li – Director in Enterprise AI COE at Wells Fargo
Deep Reinforcement Learning for Goal oriented Dialogue Systems
Rajesh Munavalli – Distinguished Data Scientist at PayPal
3:45 pm ET – 4:15 pm ET
How Matter produces an outside-in view on companies’ sustainability performance
Dines Rae Selvig – Lead AI Scientist Matter
Accelerating NLP in Production with Transfer Learning
Mabu Manaileng – Lead Data Scientist at Standard Bank Group
NLP Classifier Models & Metrics
Sanghamitra Deb – Staff Data Scientist at Chegg
NLP Training
Spark NLP for Data Scientists
Training & Certification
October 12, 2021 – 9:00 to 13:00 PST
October 13, 2021 – 9:00 to 13:00 PST
Spark NLP for Healthcare Data Scientists
Training & Certification
October 14, 2021 – 9:00 to 13:00 PST
October 15, 2021 – 9:00 to 13:00 PST
Natural Language Processing for Business Leaders
Training
October 4, 2021 – 9:00 to 13:00 PST
Delivering Successful NLP Data Annotation Projects
Training & Certification
October 4, 2021 – 9:00 to 13:00 PST
