NLP Day at Data Day Seattle

Confirmed NLP Day speakers

Sanghamitra Deb (SF Bay) @sangha_deb

Sanghamitra Deb is a Senior Data Scientist at Chegg Inc. At Chegg she works on a wide range of projects related to developing a recommendation system for Chegg online tutoring, detecting student and tutor intents using natural language processing and is heavily involved with A/B testing machine learning models. In the past she has worked at Accenture Tech Labs developing algorithmic solutions to business problems. Prior to being a data scientist she did her phd in astrophysics and studied the formation and evolution of the universe by analyzing gravitational lensing by galaxy clusters.

Zornitsa Kozareva (SF Bay) @zkozareva

Zornitsa Kozareva (Linkedin) is a Manager of the AWS Deep Learning group at Amazon that builds and solves natural language processing and dialog applications. Prior to joining Amazon, Dr. Kozareva was a Senior Manager at Yahoo! leading the Query Processing group that powered Mobile Search and Advertisement. From 2009 to 2014, Dr. Kozareva wore an academic hat as Research Professor at the University of Southern California CS Department with affiliation to Information Sciences Institute, where she spearheaded research funded by DARPA and IARPA on topics such as learning to read, interpreting metaphors and building knowledge bases from the Web. Dr. Kozareva regularly serves as Area Chair and PC of top-tier Natural Language Processing conferences. She has organized four SemEval scientific challenges and has published over 80 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 giving the following NLP Day presentation: Building Conversational Assistants with Deep Learning.

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 Rob is the founder of Lingistic, the machine learning team behind howbiased.com. We have focused on NLP problems related to politics, debate analysis and the detection of bias in editorials. Our goal is to help humans learn to be more critical of the material they ingest, by identifying traits and cues in the language which may be hidden or non-obvious.
Rob has a diverse background in engineering and machine learning, both with major corporations and startups. He has worked on problems related to machine translation, taxonomy classification and information extraction, and has a passion for unsupervised methods and graph theory. When not working on his startup, Rob is also the Manager of the Applied Science department at Rakuten, where he manages AI that expands the depth and quality of Rakuten's global product catalog.

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.

Jonathan Mugan (Austin) @jmugan

Jonathan Mugan (Linkedin) is a researcher specializing in artificial intelligence, machine learning, and natural language processing. His current research focuses in the area of deep learning for natural language generation and understanding. 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. One of the most requested speakers at the Data Day Texas conferences, he recently also spoke on the topic of NLP at the O’Reilly AI conference, and is the creator of the O’Reilly video course Natural Language Text Processing with Python. Dr. Mugan is also the author of The Curiosity Cycle: Preparing Your Child for the Ongoing Technological Explosion.
Dr. Mugan will be giving two NLP Day presentations:
From Natural Language Processing to Artificial Intelligence
Chatbots from First Principles

Julia Silge (Salt Lake City) @juliasilge

Julia Silge (LinkedIn / GitHub) is a data scientist at Stack Overflow. She enjoys making beautiful charts, the statistical programming language R, black coffee, red wine, and the mountains of her adopted home here in Utah. She has a PhD in astrophysics and an abiding love for Jane Austen. Her work involves analyzing and modeling complex data sets while communicating about technical topics with diverse audiences.