Intro
Analytics
Big Data
Public
About us
Fellows Statistics provides experienced, professional statistical analysis. Our team of data scientists is focused on extracting actionable intelligence from your data sources, incorporating forward-looking solutions into your production processes. We are a data science team at your disposal, versed in the intricacies of machine learning and big data.
David Champagne, Revolution Analytics
Interview with Dr Ian Fellows, creator of acclaimed packages in R like Deducer and the Founder and President of Fellows Statistics.
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Analysis:
Building predictive mathematical models of your business data aids you in forecasting future events, and adapting your organizations practices to the realities of a changing landscape. Our analysts are fluent in advanced statistical modeling and the computational sophistication necessary to deploy these insights into production big data environments.
Visualization:
A significant aspect of data analysis is the ability to communicate answers in a way that everyone can understand. We leverage our award-winning work in statistical graphics to provide your business with accurate, intuitive and insightful dashboards.
Artificial intelligence:
Artificial intelligence is, at its core, about making optimal decisions in the face of uncertainty, and possibly hostile opponents. We can apply the insights gained from creating world-class AI algorithms to the problems facing your organization.
Data Engineering:
A critical component of operationalizing mathematical insight in an organization is the integration of statistical algorithms into traditional or non-traditional data stores. Our experienced team of data engineers have a deep understanding of both SQL based, and NoSQL based systems, as well as distributed computation paradigms.
Storage:
We interact with, design and provide DevOps for distributed storage clusters, with expertise in managing Hadoop, HBase, Cassandra, MongoDB, and others. Additionally, we create and manage complex data pipelines using modern architectures and components (Kafka, Storm, Spark Streaming, etc.). Cluster support can be provided on premise, remote or hosted.
Distributed Computation:
Our data engineers understand how computation is done at scale and how to deploy statistical models into a complex distributed architecture. We work with Hadoop MapReduce, Spark and others to provide fault tolerant scalable computational platforms.
Blog
Technical blog focused on R and data science.
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Academics
Research papers published by Ian Fellows.
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OpenStreetMap
The OpenStreetMap R package provides access to high quality raster images from the OpenStreetMaps project and Bing aerial imagery.
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wordcloud
The wordcloud package brings visually appealing word clouds to R.
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Deducer
Intuitive dialog based interface to common data manipulation and analysis tasks.
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fell omen
Texas hold'em poker represents a significant challenge from a computational perspective. The minimax algorithms which successfully
spawned nearly unbeatable chess players breakdown when applied to poker. In 2007 and 2008, two programs were created that attempted to tackle the
game of limit heads-up texas hold'em. Both years, our programs placed second in an international competition.
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Founder and president
Dr. Ian Fellows is a professional statistician with research interests ranging over many sub-disciplines of statistics. His work in statistical visualization won the prestigious John Chambers Award in 2011, and in 2007-2008 his Texas Hold'em AI programs were ranked second in the world.
Applied data analysis is his passion. He is accustomed to providing insightful analysis and operationalizing these analyses in enterprise systems using a variety of programming languages and tools including R, Python, Java, MapReduce and Spark.
View CV BlogData Scientist
Our Ph.D. data scientists provide insightful analyses for data both big and small.
Data Architect
Our data architect conceives of, and builds, distributed data pipelines capable of streaming and holding vast quantities of information.
Data Engineer
The data engineers are talented computer scientists steeped in big data storage and distributed computation.
Data DevOps
The DevOps engineer builds and manages cluster deployments.
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Data Analysis:
We have experience providing statistical analysis for a wide range of data and study types. Whether your project is a multi-center double blind placebo controlled drug trial, a group randomized hierarchical study, or a simple cross-sectional survey, we have the statistical tools to assist you in understanding your results. Our analysts are fluent in a number of statistical software packages including SPSS, R and S+.
Grant Review:
Many times appeasing the statistical reviewer is the difference between a grant receiving funding or not. We will make sure that your analysis plan is statistically correct, and addresses the hypotheses that you are interested in testing. We will review, discuss and edit your grant to ensure that the methodology, phrasing and terminology of your plan is correct. We have worked with NSF, NIH and NIMH grant applications.
Study Design:
The design of your study determines its ability to answer your research questions, and affects every stage of your research. We will provide insight into your different design options, and how these options will affect the data analysis. We will also perform power analyses to determine sample sizes that are both practical, and give you the best chance to prove your hypotheses.
Visualization:
The impact of your work is determined in part by your ability to communicate your findings to your peers. We create publication quality statistical graphics that present your data in an understandable and intuitive manner.
Instruction:
We are happy to assist in the education of students, and the continuing education of researchers. If you would like to further your understanding of statistics, we provide both short courses in specific statistical topics (e.g. Short course - Mixed Models), and one-on-one training.