Who will be speaking at NLP Day Texas?

We're are continuing to confirm and announce the speakers. Check this page regularly for updates.

(NEW) Hua Xu (Houston)

Dr. Hua Xu (LinkedIn) is Robert H. Graham Professor at the School of Biomedical Informatics in The University of Texas Health Science Center at Houston (UTHealth). He directs the Center for Computational Biomedicine at UTHealth. Dr. Xu received his Ph.D. in Biomedical Informatics from Columbia University in 2008. His primary research interests include biomedical natural language processing and data mining. He was the Chair of American Medical Informatics Association (AMIA) Natural Language Processing (NLP) Working Group in 2013-2014. He has published over 130 peer-reviewed papers and has been principal investigator on a number of grants, including multiple R01s from NIH. In 2014, Dr. Xu was elected as a fellow to the American College of Medical Informatics.
Professor Xu will be giving the following presentation: Toward portable NLP solutions for healthcare – the journey of CLAMP

Anne-Marie Currie (Austin)

Anne-Marie Currie, Ph.D., is a Principal Data Scientist at Advisory Board Company. She has been working in the fields of medical informatics, legal informatics, and consumer analytics since 1998. She has contributed to the design, development, and implementation of innovative technical solutions that leverage natural language processing and machine learning. She enjoys working on a diverse set of business problems. Her projects include predictive disease models, readmission risk, the identification of gaps in care, extraction of terms and entities from legal contracts, and sentiment analysis of patient experience. Her most recent focus has been on consumer analytics within the healthcare domain. She received her Ph.D. in linguistics from the University of Texas at Austin.
Anne-Marie will be giving the following presentation: Using Text Analytics to Improve Net Promoter Scores. Is a number worth a thousand words?

Garrett Eastham (Austin) @data_exhaust

Garrett Eastham is a practicing data scientist and serial entrepreneur working at the intersection of Artificial Intelligence and Digital Commerce. He has been working within enterprise ecommerce for the past 6 years - working exclusively with leading retail technology innovators such as Edgecase (which he founded) and RetailMeNot.




Tatiana Erekhinskaya (Dallas)

Tatiana Erekhinskaya is a Research Scientist and Product Manager at Lymba Corporation. She received a PhD degree in Computer Science from the University of Texas at Dallas with a dissertation on probabilistic models for text understanding. Tatiana has been working in Natural Language Processing for more than 10 years. In her career, she acted as a technical leader on a broad range of projects that included misspelling-robust syntactic parsing for Russian, the first syntax-based opinion mining for Russian, and more recently semantics-driven projects for English in medical domain, national security and enterprise applications. One of her latest projects is knowledge extraction from Chinese texts. Her primary research areas are deep semantic processing and big data with a special emphasis on the medical domain.

Joseph Gartner (Austin)

Dr. Joseph Gartner is a Data scientist for Sotera Defense Systems, located in Austin, TX. His work focuses on the fulfillment of contracts with the Defense Advanced Research Project Association, particularly the XDATA program. Before Sotera, Joe received his Ph.D. in particle physics in 2011 based on his work at the CMS collaboration at CERN.
Joseph will be giving the following presentation: Multichannel Event Detection in Twitter



Scott Malec (Houston) @lbd_abduction

Scott Malec is a Pre-Doctoral Fellow of the National Library of Medicine and PhD candidate at the School of Biomedical Informatics at the University of Texas Health Science Center at Houston. His primary research interests are in building systems that model abductive reasoning processes and in the computational modeling of narrative. In his ongoing dissertation research, he is using domain knowledge to construct causal models from clinical observational data derived from electronic health records for a pharmacovigilance (a.k.a., epidemiology of drug side-effects after regulatory approval) use case. Scott received postgraduate training in Information Sciences and Management Information Systems from the University of Pittsburgh and Carnegie Mellon University. Prior to commencing his doctoral work in biomedical informatics, he worked in industry and has presented internationally in the field of humanities computing. He is a current member of the American Medical Informatics Association, Association for Computational Linguistics, and the Healthcare Information and Management Systems Society.
Scott will be giving the following presentation: Using the literature to tame observational data

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.




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 will be giving the following presentation: Sockpuppets, Secessionists, and Breitbart

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.
Jonathan will be giving the following presentation: Chatbots from First Principles

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.

Erik Skiles (Austin)

Erik Skiles is a computational linguist that loves to find novel ways to solve real world problems. His fascination with AI began with "War Games" and he began exploring the world of Natural Language Processing while serving in the military as a linguist and analyst. Erik now brings his experience of wrangling big data in the government sector to the commercial world at the Austin-based AI company, SparkCognition. Erik received his Masters in Computational Linguistics from the University of Texas at Austin, with his report on researching the connection between language and geographic location.
Erik will be giving the following presentation: Words as Vectors - Introduction to Word Embeddings.


Tad Turpen (Austin) @nlpndx

Tad Turpen is the Chief Data Scientist at NarrativeDx. His natural language processing career started with a research internship at Sandia National Labs, followed by a masters at Brandeis, a research position at Johns Hopkins, another research position at the University of Pennsylvania, a lead engineer position at an education search engine company and he finally ended up at Narrativedx. He speaks terrible Mandarin after studying at Peking University, Beijing for a semester. He enjoys startups, snowboarding, statistics, natural language and philosophy.
Tad will give the following presentation: Artificial Intelligence as a Tool (What makes or breaks natural language processing products


Jacob Su Wang (Austin)

Jacob Su Wang is a PhD research assitant (to Dr. Katrin Erk) at the Department of Statistics and Data Science and the Department of Linguistics (University of Texas at Austin), and a member researcher in UT DEFT group (Deep Exploration and Filtering of Texts, under DARPA). Jacob specializes in Computational Linguistics, Bayesian Inference and Neural Networks. He also works as a machine learning consultant at the Austin-based AI startup OJO Labs. Inc.. Jacob is interested in various NLP tasks, in particular Named Entity Recognition, Questions Answering and Modeling of Lexical Semantics. Before coming to Austin, Jacob studied linguistics and computer science at University at Buffalo (SUNY), holds a M.A. in General Linguistics (CS minor), and a B.S. in Informatics.
Jacob will be holding the following session: An Introduction to Topic Modeling.

(NEW) Malcolm Wardlaw (Dallas)

Malcolm Wardlaw is a research Professor of Finance at the University of Texas at Dallas. He recieved his PhD in Financial Economics at the University of Texas at Austin in 2011. His research focuses primarily on issues in corporate finance and the way in which business raise capital to fund their operations. Since 2015 he has been involved in new research initiatives using textual analysis to examine large corporate loan contracts, how they are structured, and the implications for restrictiveness, bargaining outcomes, and the impact of standardization.
Malcolm will be holding the following session: Textual Analysis and High Finance: What Can We Learn From the Writing of Financial Contracts.