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.
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.
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.
(NEW) - 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.