Gregory Warnes Email & Phone Number

Charlotte Metro

Provide modeling expertise, data analysis, and analytic software development to corporate and academic clients.

Charlotte Metro

Launched startup to develop and marketing technology and products based on the “inouï” signal modulation technique (US Patent US9602228B1). Leads research activities (including implementing algorithms using developing software defined radio (SDR) tools, performing testing and parameter optimization), and leads fund seeking.

Develop, document, and maintain the r-gregmisc packages: General tools: gregmisc, gtools, gdata, gmodels, gplots, namespace, sasxport, session – Statistical genetics & genomics: genetics, GeneticsBase, GeneticsDesign, GeneticsPed, GeneticsQC, fbat, ssize, qvalue - Parallel computing: fork, Rlsf - Audiology: sii - MCMC Diagnostics: mcgibbsit

Charlotte Metro

Provide modeling expertise, data analysis, and scientific software development for clients in diverse industries, including pharma/biotech, agriculture, and finance. Recent engagements include: Development of software for statistically rigorous market prediction by non-quantitative marketing executives for a major pharmaceutical company, Creation of a web.

Charlotte, North Carolina Area

Dr. Warnes invented and lead development of Torqata's marquee "Category Compass" SAAS product. Category Compass is a first-of-its-kind tool for tire retailers which applies an advanced market demand model to identify location-specific market opportunities and optimal product stocking strategies. Dr. Warnes also provided statistical training and consulting.

Greater New York City Area

Developed advanced tools, processes, algorithms, architectures, and innovative approaches for clinical pharmaceutical research and for leveraging a large repository of clinical trial data. Designed and prototyped a web application for the analysis of genomic biomedical data that explicitly supports the workflow for addressing targeted scientific questions.

Ridgefield, CT

Provide statistical support and guidance for the Ridgefield research site, focusing on RNAseq and other high-resolution / high-throughput bioassay technologies.

Cambridge, MA

My job boils down to 'embedding' myself in a disease or project area, looking around to see what problems mathematical/computational/statistical modeling can help with, and then making it happen.

Founded and managed a comprehensive program supporting computing as a research tool at the University of Rochester. Managed funding, purchase, installation, maintenance, and support for high-performance computing technology. Managed IT and computational science staff. Established center policy and procedures. Developed training and outreach programs for.

Co-directed the biocomputing core of the University of Rochester Center for Biodefense Immune Modeling (CBIM). Provided statistical support for immunological research on Influenza and HIV. Developed DEDISCOVER, a high-quality software application for modeling biological processes using systems of differential equations. Taught courses in applied Bayesian.

Developed software business providing enterprise-class packaging, present enhancements, services, and training for the open-source “R” statistical software system, as well as statistical consulting for scientific, financial, and marketing organizations

Manage, develop, and support "“RPY”, a robust Python interface to the R Statistical Programming Environment.

Developed parallel and distributed algorithms, methods, and software for the analysis of genetic, genomic, proteomic, and metabanomic data, including development of statistical genetics packages for R. Developed, published, and maintained more than 20 R, PYTHON, and ZOPE extension packages.

Groton, CT

Statistical analysis, methods development, and software implementation in support of projects utilizing "-omic" technologies for pre-clinical, safety, and basic science projects spanning disease areas (Atherosclerosis to Obesity), experimental species (Yeast to Human Subjects), sample sizes (4 to 40,000), and measurement technologies (e.g. small scale DNA.

Developed and validated algorithms and software for Markov Chain Monte Carlo on parallel and cluster computers. Contributed computational methods descriptions to grant applications, including a successful grant proposing to utilize a BEOWULF parallel computing cluster. Constructed, maintained, and supported a 16-node BEOWULF parallel computing cluster..

Under the direction of John M. Chambers, Ph.D., developed parallel modules for pseudo-random number generation, bootstrapping, and Markov Chain Monte Carlo (MCMC) for the OMEGAHAT next-generation statistical computing system.

Provided statistical and informatics support to the Seattle Barrett's Esophagus Research Program, directed by Brian Reid, M.D., Ph.D.

Provo, Utah, United States

Responsible for software quality, including development and documentation of development processes and testing methods. Managed testing staff.

Ph.D., Biostatistics

Activities and Societies: Senator Graduate and Professional Student Senate - 9/97 - 6/99, Member Student Technology Fee Committee.

M.Sc., Biostatistics

B.Sc., Statistics (Computer Science Emphasis)

A.Sc., Computer Science