2022 Program

Day 1 | Open Source

Tuesday, October 4

(All times are US Eastern Time)

12:00 pm ET – 12:10 pm ET

NLP Trends – 2022 Edition

David Talby – CTO at John Snow Labs

12:10 pm ET – 12:25 pm ET

Vision Transformers and Automatic Speech Recognition in Spark NLP

Maziyar Panahi – Principal AI/ML Engineer – Senior Team Lead at John Snow Labs

12:25 pm ET – 12:45 pm ET

Deploying BLOOM: A 176B Parameter Multi-Lingual Large Language Model

Sanchit Gandhi – Machine Learning Research Engineer at Hugging Face

Suraj Patil – Machine Learning Engineer at Hugging Face

12:45 pm ET – 1:05 pm ET

How to Harness Wikipedia and Wikidata for Entity Recognition

John Bohannon – Director of Science at Primer.ai

1:05 pm ET – 1:25 pm ET

Sparse Expert Models: Past and Future

Barret Zoph – Member of the Technical Staff at OpenAI

Liam Fedus – Member of the Technical Staff at OpenAI

1:25 pm ET – 1:45 pm ET

2:00 pm ET – 2:30 pm ET

The State Of The Art On Knowledge Graph Construction From Text

Jennifer D’Souza – Postdoctoral researcher TIB – Leibniz Information Centre for Science and Technology

Nandana Mihindukulasooriya – Research Scientist at IBM

Content Graphs: Multi-Task NLP Approach for Cataloging

Sakshi Bhargava – Staff Data Scientist at Chegg

Accelerating Topic modeling with RAPIDS and BERT models

Vibhu Jawa – Senior Data Scientist at Nvidia

2:35 pm ET – 3:05 pm ET

No-Code Transfer Learning from Rules & Models in the Annotation Lab

Dia Trambitas – Head of Product at John Snow Labs

Creating ‘Civil Sanctuaries’ Online with NLP

Brian Ulicny – Senior Technical Scientist at Raytheon Intelligence & Space

Vasanth Sarathy – Senior Researcher at SIFT (Smart Information Flow Technologies)

Automating Legal Document Extraction and Review

Jacob Wilson – Principal, Products & Technology at PwC

3:10 pm ET – 3:40 pm ET

Building, Analyzing and Querying Biomedical Knowledge Graphs using Graphster: A New Spark-Based Open-Source Library

Vishnu Vettrivel – Founder at Wisecube
Alex Thomas – Principal Data Scientist at Wisecube

How Robust is your NLP System? An introduction to Adversarial Evaluation in NLP

Panos Alexopoulos – Head of Ontology at Textkernel BV

Natural Language Processing and Dynamic Shapes for Inference Acceleration

Ragesh Hajela – Senior AI Engineer and Evangelist at Intel Corporation

3:45 pm ET – 4:15 pm ET

Entity Matching in NLP

Avinash Pathak – Expert Data Scientist at TomTom

Creating custom vocabularies for sequence prediction models

Swagata Ashwani – Senior Data Scientist at Boomi

Day 2 | Healthcare

Wednesday, October 5

(All times are US Eastern Time)

12:00 pm ET – 12:25 pm ET

Automated Bias, Robustness, and Data Quality Testing for NLP Models

Veysel Kocaman – Head of Data Science at John Snow Labs

12:25 pm ET – 12.45 pm ET

Leveraging NLP to Improve Quality and Patient Safety at a Large Academic Health System

Robbie Freeman – System Vice President & Chief Nursing Informatics Officer at Mount Sinai Health System

12:45 pm ET – 1:05 pm ET

Deep Learning for Relation Extraction from Clinical Documents

Vishakha Sharma – Principal Scientist at Roche

1:05 pm ET – 1:25 pm ET

Artificial Intelligence for Pharmacovigilance Processing – What is Possible Today

Martin Holm-Petersen – CEO at Insife
Amit Arora – Data Scientist at Insife

1:25 pm ET – 1:45 pm ET

Next Generation Speech Synthesis and Speech-to-Speech Technologies

Yishay Carmiel – Chief Executive Officer at Meaning

2:00 pm ET – 2:30 pm ET

A Pretrained Language Model for Public Health Surveillance on Social Media

Usman Naseem – PhD Candidate at University of Sydney

Intelligent Publication Monitoring using NLP and Ontologies

Jayant Thomas – Senior Director AI/Machine Learning Engineering at Change Healthcare

Utilizing NLP for Structure Learning to Understand Cancer Screening Uptake

Matthew Davis – PhD Canidate Biomedical Data Science and Informatics at Medical University of South Carolina

2:35 pm ET – 3:05 pm ET

Language Tasks in Clinical Natural Language Processing: Where We Are and What’s Next

Yanjun Gao – Postdoctoral Research Associate at University of Wisconsin-Madison

Applying Natural Language Processing to Cancer Genomics

Lena Pfitzer – Principal Data Scientist at myNEO

Template Based Information Extraction with Dendograms to Classify News Articles

Daniel Svoboda – NLP Research Scientist at Johnson & Johnson

3:10 pm ET – 3:40 pm ET

Therapy Specific Outcomes – Rheumatology Insights using NLP

Samuel Konstanty – Data Scientist at Loopback Analytics

How Standards for NLP Output can Revolutionize Healthcare

Sam Schifman – Chief Architect at Diameter Health

Automating Annotation Process Using Rule-Based Algorithm

Priya Shaji – Data Scientist at Memorial Sloan Kettering Cancer Center

3:45 pm ET – 4:15 pm ET

Detecting and Mitigating Covariate Shift for Large Language Models

Ayush Singh – Sr. NLP ML Engineer at Cigna

Natural Language Processing (NLP) Approach to Automate Patients’ Testimonials Analysis

Mélissa Rollot – Data Science Manager at Quinten Health

From Unstructured Documents to a Longitudinal Health Record

Isaac Palka – Senior Director of Engineering at Invitae

Timothy Laurent – Principal Engineer – Machine Learning at Invitae

Day 3 | Applications

Thursday, October 6

(All times are US Eastern Time)

12:00 pm ET – 12:25 pm ET

Introducing Spark NLP for Finance and Legal

Jose Juan Martinez – Lead Data Scientist at John Snow Labs

12:25 pm ET – 12:45 pm ET

Advances in NLP: Finance Perspective

Gary Kazantsev – Head of Quant Technology Strategy, Office of the CTO at Bloomberg

12:45 pm ET – 1:05 pm ET

BERTopic: Topic Modeling by Combining the Old with the New

Maarten Grootendorst – Data Scientist at IKNL and Creator of BERTopic, PolyFuzz, and KeyBERT

1:05 pm ET – 1:25 pm ET

Evolution through Large Language Models

Joel Lehman – Researcher at Stochastic Labs

1:25 pm ET – 1:45 pm ET

NLP and Language Models at Stitch Fix and Beyond

Olivia Liao – Senior Director of Data Science at Stitch Fix

2:00 pm ET – 2:30 pm ET

NLP for Finance – Automated Invoice Classification for Submission Compliance

Harsha Gurulingappa – Head of Text Analytics at Merck KGaA, Darmstadt, Germany

Shobha Iyer – Lead Expert Big Data at Merck KGaA, Darmstadt, Germany

Building an Integrated Data Approach to Pharma Medical Affairs

Adam Hirsch – Vision Transformers and Automatic Speech Recognition in Spark NLP at Real Chemistry

2:35 pm ET – 3:05 pm ET

Challenges in Financial Document Understanding – NLP and Beyond

Neelesh Shukla – Research Scientist & Manager AI State at Street Corporation

Review2topic: Building Topics Detection Model to Leverage Reviews Data in Booking.com

Moran Beladev – Machine Learning Manager – NLP & Computer Vision at Booking.com

The Role of NLP in Enterprise Value Prediction

Chandrasekhar Subramanyam – Senior Professor at IFIM Business School

3:10 pm ET – 3:40 pm ET

Decoding Financial Literacy Using Customer Feedback

Anjali Sreekumar – Engineering Manager at Lending Tree

Call Center Analytics – Enhancing Customer Service using Actionable Insights (AI)

Swati Sharma – AI Lead, Head of Data Science at Brillio

Natural Language Understanding – Nested NER and WSD

Mustafa Jarrar – Professor of Artificial Intelligence at Birzeit University

3:45 pm ET – 4:15 pm ET

Creating and Maintaining Pipelines for Machine Learning Operations

Zach Wimpee – Clinical Effectiveness Analyst at Pieces

Accelerating NLP Pipelines with Hardware-Software synergies

Tim Santos – Director of Devrel at Graphcore

NLP Training

Spark NLP for Data Scientists
Training & Certification

October 11, 2021 – 9:00 to 13:00 PST
October 12, 2021 – 9:00 to 13:00 PST

Spark NLP for Healthcare Data Scientists
Training & Certification

October 13, 2021 – 9:00 to 13:00 PST
October 14, 2021 – 9:00 to 13:00 PST