NLP Day at Data Day Seattle

For Data Day Seattle 2017, we'll be hosting a conference within a conference - NLP Day Seattle. This industry-focused vendor neutral event will feature presentations in Natural Language Processing, Text Analytics, Sentiment Analysis, and related topics. We'll be announcing another 20 speakers over the next month or so. If you would like to join us as a speaker, please visit our proposals page.

Confirmed NLP Day speakers

Sanghamitra Deb (SF Bay) @sangha_deb

Sanghamitra Deb is a Data Scientist at Accenture Technology Laboratory. As a data scientist at a Accenture she has worked on a wide variety of problems related data modeling, architecture and visual story telling. She has also worked in multiple data roles in different projects. Her primary focus is application of Natural Language Processing and Machine Learning to enterprise data. She is active in Data Science outreach and believes in applying analytics to a range of domains such as pharma, HR, customer support, market research, etc. Prior to being data scientist she was an astrophysicist who studied the structure of the universe by modeling galaxy clusters.

Jason Kessler (Seattle) @jasonkessler

Jason Kessler (LinkedIn) is a data scientist at CDK Global, where he analyses language use and consumer behavior in the online auto-shopping ecosystem. Prior to joining CDK, Jason was the founding data scientist at PlaceIQ and worked as a research scientist for JD Power and Associates. He has published peer-reviewed papers on algorithms and corpora for sentiment and belief analysis, and has sat on program committees and reviewed for several AI and NLP conferences. Most recently, he has delivered talks on the identification of persuasive and influential language language to the 2015 Sentiment Symposium and Data Day Seattle 2016.

(NEW) - Zornitsa Kozareva (SF Bay) @zkozareva

Zornitsa Kozareva (Linkedin) is a Machine Leaning Manager at Amazon Alexa, where she leads a team of natural language processing and machine learning scientists who work on developing the new capabilities for the Alexa platform and third party applications. Prior to Amazon, Zornitsa was a Senior Manager at Yahoo! leading the Query Processing group that powers Mobile Search and Advertisement. From 2009 to 2014, Dr. Kozareva was a Research Assistant Professor at the University of Southern California and a Research Scientist at the Information Sciences Institute. Her interests lie in Web-based knowledge acquisition, semantics, ontology population, multilingual information extraction and sentiment analysis. Dr. Kozareva regularly serves as Area Chair and PC of top tier NLP conferences. She has organized four SemEval scientific challenges and has published over 60 research papers. Dr. Kozareva is a recipient of the John Atanasoff Award given by the President of Republic of Bulgaria in 2016 for her contributions and impact in science, education and industry; the Yahoo! Labs Excellence Award in 2014 and the RANLP Young Scientist Award in 2011.

Stefan Krawczyk (San Francisco) @stefkrawczyk

Stefan Krawczyk loves the stimulus of working at the intersection of design, engineering, and data. He spent formative years at Stanford, LinkedIn, Nextdoor & Idibon, working on everything from growth engineering, product engineering, data engineering, to recommendation systems, NLP, data science and business intelligence. At Stitch Fix he’s leading development of the algorithm development platform.

Rob McDaniel (Seattle)

Rob McDaniel is a data scientist at LiveStories, a Seattle-based startup developing a storytelling and analysis platform for the public sector. He enjoys working on semantic text analysis, data mining and classification problems. Previously, he has developed clustering and classification models for product and job description taxonomies, created a prototype bias-detection algorithm for news articles, and built entity extraction pipelines. At LiveStories, Rob is creating a public data graph by mining semantic networks between open data on the web, and providing a platform to answer natural language queries about them on a wide variety of public issues, such as health and education.

Yashar Mehdad (San Francisco)

Yashar Mehdad is a senior ML/NLP Scientist at Airbnb, and a frequent speaker at NLP conferences -- including EMNLP and ACL.

Christopher Moody (San Francisco) @chrisemoody

Chris Moody loves high-performance computing, high dimensions & high fashion. He loves learning the beautiful symmetries between physics, data, and analytics. Went to Caltech, did astrostats & supercomputing and now Data Labs at Stitch Fix. Currently enjoying coding up word2vec, Gaussian Processes, Deep RNNs and t-SNE.
Christopher will be speaking as part of NLP Day Seattle.

Robert Munro (San Francisco) @WWRob

Robert Munro (Linkedin) is a computational linguist and data scientist working at the leading edge of scalable language technologies. Robert is a world leader in applying machine learning, natural language processing, crowdsourcing and big data analytics to human communication. He has worked in many diverse environments, from Sierra Leone, Haiti and the Amazon to London, Sydney and San Francisco, with organizations ranging from Silicon Valley Startups to the United Nations.
Robert is currently the Principal Product Manager at Amazon AI, where he leads product for Natural Language Processing and Machine Translation. Formerly, he was co-founder of the NLP startup, Idibon.
Robert has published more than 50 papers on natural language processing and is a regular speaker about technology in an increasingly connected world. He completed a PhD in Computational Linguistics as a Graduate Fellow at Stanford University. Outside of work, Robert has learned about the world’s diversity by cycling more than 20,000 kilometers across 20 countries, mostly through the mountains.