Who will be speaking at Data Day Seattle?

The following speakers are confirmed for Data Day Seattle 2017. There are 50+ more to follow. Check this page regularly for updates. We are currently accepting proposals.

Nikhil Buduma (SF Bay) @nkbuduma

Nikhil Buduma (Linkedin) is Co-founder and Chief Scientist at Remedy Health, a San Francisco-based company that is building a new system for data-driven primary healthcare.
At the age of 16, he managed a drug discovery laboratory at San Jose State University and developed novel low-cost screening methodologies for resource-constrained communities. By the age of 19, he was a two-time at the International Biology Olympiad. He later attended MIT, where he focused on developing large scale data systems to impact healthcare delivery, mental health, and medical research. At MIT, he co-founded Lean On Me, a national non-profit organization that provides an anonymous text hotline to enable effective peer support on college campus and leverages data to effect positive mental health and wellness outcomes.
Today, Nikhil spends his free time investing in hard technology and data companies through his venture fund, Q Venture Partners, and managing a data analytics team for the Milwaukee Brewers baseball team.

(NEW) - 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.
Sanghamitra will be speaking as part of NLP Day Seattle.

Holden Karau (San Francisco) @holdenkarau

Holden Karau is a software development engineer and is active in open source. She a co-author of Learning Spark & Fast Data Processing with Spark and has taught intro Spark workshops. Prior to IBM she worked on a variety of big data, search, and classification problems at Alpine, DataBricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a Bachelors of Mathematics in Computer Science. Outside of computers she enjoys dancing & playing with fire.
Holden will be holding the following session: Extending Spark Machine Learning - Adding your own algorithms & tools.
While at Data Day, Holden will be holding office hours and signing copies of her O'Reilly book: High Performance Spark.

Jason Kessler (Seattle) @ jasonkessler

Jason Kessler (LinkedIn)>/em> 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.
Jason will be speaking as part of NLP Day Seattle.

(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.
Zornitsa will be speaking as part of NLP Day Seattle.

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.
Stefan will be speaking as part of NLP Day Seattle.


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.
Rob will be speaking as part of NLP Day Seattle.

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.
Yashar will be speaking as part of NLP Day Seattle.

Ryan Mitchell (Somerville, MA) @Kludgist

Ryan Mitchell (Linkedin) is a senior software engineer at HedgeServ , She received her master's in software engineering from Harvard University, Extension School, and a bachelor's in Engineering at Olin College of Engineering. Prior to joining HedgeServ, Ryan was a Software Engineer building web scrapers and bots at Abine Inc. Ryan is the author of two books about web scraping: Web Scraping with Python (O’Reilly, 2015), and Instant Instant Web Scraping with Java (Packt, 2013), as well as an upcoming O’Reilly video series: Web Crawling with Python.

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.

Jonathon Morgan (Austin) @jonathonmorgan

Jonathon Morgan (Linkedin) is Founder and CEO at New Knowledge. a company building technologies to understand and predict human behavior. As part of his ongoing work applying quantitative methods to combating violent extremism, he served as an advisor to the White House and State Department, co-authored the ISIS Twitter Census for the Brookings Institution, and develops new technology with DARPA. Jonathon is also the co-host of Partially Derivative, an unrealistically popular podcast about data science and drinking.

Jonathan Mugan (Austin) @jmugan

Jonathan Mugan (Linkedin) is Co-Founder and CEO at DeepGrammar. Dr. Mugan specializes in artificial intelligence and machine learning. His current research focuses in the area of deep learning, where he seeks to allow computers to acquire abstract representations that enable them to capture subtleties of meaning. Dr. Mugan received his Ph.D. in Computer Science from the University of Texas at Austin. His thesis was centered in developmental robotics, which is an area of research that seeks to understand how robots can learn about the world in the same way that human children do. Dr. Mugan also held a post-doctoral position at Carnegie Mellon University, where he worked at the intersection of machine learning and human-computer interaction. He is also the author of The Curiosity Cycle: Preparing Your Child for the Ongoing Technological Explosion.

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.
Rob will be speaking as part of NLP Day Seattle.

(NEW) - Haikal Pribadi (London) @ haikalpribadi

Haikal Pribadi is the Founder and CEO of GRAKN.AI, the database for AI. His interest in the field began at the Monash Intelligent Systems Lab, where he built an open source driver for the Parallax Eddie Robot which was then adopted by NASA. After which, he completed a masters degree in AI from the University of Cambridge. Haikal was also the youngest Algorithm Expert behind Quintiq’s Optimisation Technology behind some of the world’s largest supply chain systems in transportation, retail and logistics. He now works on GRAKN.AI, a distributed knowledge base with that uses machine reasoning to handle and interpret complex data. GRAKN.AI was recently awarded Product of the Year 2017 by the University of Cambridge Computer Lab.
Haikal Pribadi will be presenting the following session: A Cognitive Knowledge Base as an Enterprise Database.

Nelson Ray (SF Bay)

Nelson Ray manages the Risk Science group at Opendoor in San Francisco. His team is responsible for pricing the fee for Opendoor's home buying service and for optimizing resale strategy using a variety of machine learning models and experimental techniques. Prior to joining Opendoor, Nelson was a data scientist at Google and a software engineer at Metamarkets. He holds a BS in mathematics and an MS and PhD in statistics from Stanford University.