Irina Rish is a researcher at the AI Foundations department of the IBM T.J. Watson Research Center. She received MS in Applied Mathematics from Moscow Gubkin Institute, Russia, and PhD in Computer Science from the University of California, Irvine. Her areas of expertise include artificial intelligence and machine learning, with a particular focus on probabilistic […]

Jeremy Stanley is currently Founder and CTO of a Stealth startup building a foundational new layer for the modern cloud data warehouse stack. Most recently VP Data Science at Instacart, focused on machine learning for logistics and marketplace discovery. Previously led data science and engineering at Sailthru, building personalization tools for e-commerce and publishing companies. […]

Mathias Brandewinder has been developing software professionally for about 10 years, with a focus on forecasting and risk analysis models. He is a Microsoft F# MVP, and speaks regularly on functional programming and related topics at conferences worldwide. He is the author of “Machine Learning Projects for .NET Developers” (Apress), and the founder of Clear […]

Dr. Ronald P. Menich, Chief Data Scientist from Predictix, LLC, describes his firm’s experience in applying machine learning to retail demand forecasting, utilizing many different attributes / features/ causal factors / demand-drivers. Ron Menich is EVP and Chief Data Scientist and Predictix, LLC, where he leads a team of machine learning and retail implementation personnel, […]

Lise Getoor is a professor in the Computer Science Department at UC Santa Cruz. Her research areas include machine learning and reasoning under uncertainty; in addition she works in data management, visual analytics and social network analysis. She has over 200 publications and extensive experience with machine learning and probabilistic modeling methods for graph and […]

Pratt is co-founder and chief scientist of Mountain View-based Quantellia, which offers data, analytics, and decision intelligence software and services worldwide. Pratt previously served as global director of telecommunications research for Stratecast (a division of Frost & Sullivan) and also worked at Bellcore and IBM. A graduate of Dartmouth College and Rutgers University, she holds […]

Tamara G. Kolda is a member of the Data Science and Cyber Analytics Department at Sandia National Laboratories in Livermore, CA. Her research is generally in the area of computational science and data analysis, with specialties in multilinear algebra and tensor decompositions, graph models and algorithms, data mining, optimization, nonlinear solvers, parallel computing and the […]

Prior to joining 0xdata as Physicist & Hacker, Arno was a founding Senior MTS at Skytree where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world’s largest supercomputers as a Staff Scientist at SLAC National Accelerator Laboratory where he […]

Òscar Celma is currently VP of Data Science at Pandora, where he leads a team of scientists and musicologists to provide the best personalized audio experience tuned to the moment you’re in. From 2011 till 2014 Òscar was Senior Research Scientist at Gracenote. His work focused on music and video recommendation and discovery. Before that […]

Ted Dunning is Chief Application Architect at MapR and has held Chief Scientist positions at Veoh Networks, ID Analytics and at MusicMatch, (now Yahoo Music). Ted is responsible for building the world’s most advanced identity theft detection system, as well as one of the largest peer-assisted video distribution systems and ground-breaking music and video recommendations […]

Anthony Bak is a principal research scientist at Ayasdi where he designs machine learning and analytic solutions. Prior to Ayasdi he was a postdoc with Ayasdi co-founder Gunnar Carlsson in the Stanford University Mathematics Department. His PhD is on connections between algebraic geometry and string theory.

Amy is a Professor of Mathematics at the College of Charleston where she is the Operations Research specialist. She works on ranking, clustering, recommendation systems, and more recently stable matching for applications from web search to legal consulting to sports analytics.

Dan Mallinger is the Data Science Practice Manager for Think Big Analytics. He has deep experience enabling analytics at enterprises and implementing data science solutions, having helped many of the Fortune 100. Dan has extensive experience working with product, business, and marketing teams across a wide variety of industries. His work with them has been […]

Elizabeth Elhassani is the Director of Enterprise Analytics and Insights at LexisNexis Risk Solutions. Elizabeth is responsible for leading the design and implementation of short and long term analytic strategies to benefit all of our businesses. An experienced marketing professional, Elizabeth has 14 years of B2B and B2C analytic experience, with emphasis in designing statistical […]

Evan is a Lead Machine Learning Engineer working on the Data Team at Meetup. Combining product design, machine learning research and software engineering, Evan builds systems that help Meetup’s members find the best thing in the world: real local community. Before Meetup, Evan worked on hotel recommendations at Orbitz Worldwide, and he began his career […]

Ewa Dominowska is a Director at Google. Prior to her role at Google, Ms. Dominowska worked at Facebook where she managed teams focused on Science, Optimization and Identity Modeling for Online Advertising. Before coming to Facebook she designed a large scale predictive analytics platform for mobile devices as a Chief Architect at Medio Systems (acquired […]

Hassan Chafi is a Senior Research Manager at Oracle Labs where he currently leads various projects. His research investigates high-performance, parallel, in-memory Graph Analytics and using domain specific languages (DSLs) to simplify parallel programming. Dr. Chafi received his PhD from Stanford University. His thesis work at Stanford focused on building a Domain Specific Language Infrastructure, […]

As a research scientist at Intel Corporation, Xia (Ivy) Zhu works on graph analytics to provide users with end to end solution which includes but not limited to graph ETL, graph building and machine learning. Prior to joining Intel Labs in 2005, Ivy worked as senior scientist at Philips Research East Asia. She holds a […]

Jacob Mundt is the CTO at legal tech startup eBrevia, applying information extraction and summarization to the text of legal documents and contracts. eBrevia provides software tools that help attorneys to speed their review of legal documents while increasing accuracy. Previously Jacob researched summarization, machine translation, and information extraction under Kathleen McKeown at Columbia University, […]

Sri is co-founder and CEO of h2o.ai, (formerly 0xdata (@hexadata), the builders of H2O. H2O democratizes bigdata science and makes hadoop do math for better predictions. Before 0xdata, Sri spent time scaling R over bigdata with researchers at Purdue and Stanford. Prior to that Sri co-founded Platfora and was the Director of Engineering at DataStax. […]

Bryan Thompson, Chief Scientist and Founder, SYSTAP, LLC Bryan Thompson (SYSTAP, LLC) is the Chief Scientist and co-Founder of SYSTAP, LLC. He is the lead architect for bigdata®, an open source graph database used by Fortune 500 companies including EMC (SYSTAP provides the graph engine for the topology server used in their host and storage […]

Danai Koutra is a final-year Ph.D. candidate at the Computer Science Department at Carnegie Mellon University. Her research interests include large-scale graph mining, graph similarity and matching, graph summarization, and anomaly detection. Danai’s research has been applied mainly to social, collaboration and web networks, as well as brain connectivity graphs. She holds 1 “rate-1” patent […]

Sandy Ryza is an engineer on the data science team at Cloudera. He is a committer on Apache Hadoop and recently led Cloudera’s Apache Spark development.

Tao Ye is a Sr. Scientist on the Pandora playlist team since 2010, working on research driven system building for recommendation systems, measurements and user modeling. She has 15 years of experience in the software industry, holding research scientist and lead engineer positions in social media, networking and mobile systems. She holds 11 granted patents […]

Yael Elmatad is a Data Scientist at Tapad. Prior to Tapad, Dr. Elmatad was a Faculty Fellow and Assistant Professor at NYU Physics Department, specializing in the use of high-performance computing to study model space parameter optimization. Ms. Elmatad holds a PhD in Physical Chemistry from University of California, and BS in Mathematics, Computer Science […]

Claudia Perlich leads the machine learning efforts that power Dstillery’s digital intelligence for marketers and media companies. With more than 50 published scientific articles, she is a widely acclaimed expert on big data and machine learning applications, and an active speaker at data science and marketing conferences around the world. Claudia is the past winner […]

Corinna Cortes is a Danish computer scientist known for her contributions to machine learning. She is currently the Head of Google Research, New York. Cortes is a recipient of the Paris Kanellakis Theory and Practice Award for her work on theoretical foundations of support vector machines. Cortes received her M.S. degree in physics from Copenhagen […]

Anqi Fu is a math hacker at h2o.ai, currently working on our R interface for H2O. Ms. Fu graduated with a BS in Electrical Engineering and BA in Economics from University of Maryland, College Park. At Stanford, she graduated with a MA in Business Research from the GSB, and is currently finishing up a MS […]

Chang Wang is a research staff member in the Watson Technologies Department at IBM. He is a core member of the team that developed Watson, the machine that beat the best human players on the game show Jeopardy!. Prior to joining IBM, Mr. Wang received his PhD at the University of Massachusetts at Amherst and […]

I am now a Director of Research at AWS and the manager Amazon AI Labs. The Lab is a mix of scientists and engineers who build cutting edge machine learning systems and services for AWS customers. We support SageMaker, Kinesis, QuickSight and other yet-to-be-released services from AWS. Until mid 2016 I was the Senior Research […]

Erik Bernhardsson is the CTO at Better, a small startup in NYC working with mortgages. Before Better, he spent five years at Spotify managing teams working with machine learning and data analytics, in particular music recommendations.

Justin Basilico is a Research/Engineering Manager for Page Algorithms Engineering at Netflix. He leads an applied research team focused on developing the next generation of algorithms used to generate the Netflix homepage through machine learning, ranking, recommendation, and large-scale software engineering. Prior to Netflix, he worked on machine learning in the Cognitive Systems group at […]

Xiangrui Meng is a software engineer at Databricks. His main interests center around developing and implementing scalable algorithms for scientific applications. He has been actively involved in the development of Spark MLlib since he joined. Before Databricks, he worked as an applied research engineer at LinkedIn, where he was the main developer of an offline […]

Animashree (Anima) Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of machine learning. In particular, she has spearheaded research in tensor-algebraic methods, large-scale learning, deep learning, probabilistic models, and non-convex optimization. Anima is the recipient of several […]

As the VP of Product Management at LogicBlox, Shan Shan works on bringing to market a database technology that enables “smart applications”: applications that perform complex and often predictive analysis over a combination of large historical data sets and real-time feeds.

Todd Merrill brings operating excellence and a deep technical background to HireIQ. Todd combines executive leadership experience with deep technical knowledge in advanced speech and security technologies. As HireIQ’s CTO, Todd guides the research and development effort responsible for the creation of commercial software applications that use advanced speech technologies to extract emotional characteristics from […]