Cronan McNamara

Cronan McNamara

Ireland
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About

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Experience

  • Creme Global Graphic

    Creme Global

    Dublin, Ireland

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    Dublin, County Dublin, Ireland

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    Dublin, Ireland

Education

  • IESE Business School Graphic

    IESE Business School

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    Enterprise Ireland’s world-class Leadership 4 Growth Programme aims to enhance the leadership & strategic capability, ambition and confidence of CEO’s of SME’s to lead scalable, innovative companies capable of growing exports and jobs in Ireland.

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  • Thesis on Mathematical Modelling of Financial Risk.

  • Activities and Societies: Tennis Club Captain Super League Soccer

    Nevin Medal Award for Top Graduate.

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    The International Selling Programme is Enterprise Ireland's gold standard programme, designed to help Irish companies strengthen their positions in International markets.

Publications

  • Novel database for exposure to fragrance ingredients in cosmetics and personal care products.

    Regulatory Toxicology and Pharmacology

    Exposure of fragrance ingredients in cosmetics and personal care products to the population can be determined by way of a detailed and robust survey. The frequency and combinations of products used at specific times during the day will allow the estimation of aggregate exposure for an individual consumer, and to the sample population. In the present study, habits and practices of personal care and cosmetic products have been obtained from market research data for 36,446 subjects across European…

    Exposure of fragrance ingredients in cosmetics and personal care products to the population can be determined by way of a detailed and robust survey. The frequency and combinations of products used at specific times during the day will allow the estimation of aggregate exposure for an individual consumer, and to the sample population. In the present study, habits and practices of personal care and cosmetic products have been obtained from market research data for 36,446 subjects across European countries and the United States in order to determine the exposure to fragrance ingredients. Each subject logged their product uses, time of day and body application sites in an online diary for seven consecutive days. The survey data did not contain information on the amount of product used per occasion or body measurements, such as weight and skin surface area. Nevertheless, this was found from the literature where the likely amount of product used per occasion or body measurement could be probabilistically chosen from distributions of data based on subject demographics. The daily aggregate applied consumer product exposure was estimated based on each subject's frequency of product use, and Monte Carlo simulations of their likely product amount per use and body measurements. Statistical analyses of the habits and practices and consumer product exposure are presented, which show the robustness of the data and the ability to estimate aggregate consumer product exposure. Consequently, the data and modelling methods presented show potential as a means of performing ingredient safety assessments for personal care and cosmetics products.

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  • Uncertainty analysis of the use of a retailer fidelity card scheme in the assessment of food additive intake.

    Food Additives and Contaminants Part A: Chemistry, Analysis, Control, Exposure & Risk Assessment

  • European consumer exposure to cosmetic products, a framework for conducting population exposure assessments. Food and Chemical Toxicology

    Food and Chemical Toxicology

    Access to reliable exposure data is essential to evaluate the toxicological safety of ingredients in cosmetic products. This study was carried out by European cosmetic manufacturers acting within the trade association Colipa, with the aim to construct a probabilistic European population model of exposure. The study updates, in distribution form, the current exposure data on daily quantities of six cosmetic products. Data were collected using a combination of market information databases and a…

    Access to reliable exposure data is essential to evaluate the toxicological safety of ingredients in cosmetic products. This study was carried out by European cosmetic manufacturers acting within the trade association Colipa, with the aim to construct a probabilistic European population model of exposure. The study updates, in distribution form, the current exposure data on daily quantities of six cosmetic products. Data were collected using a combination of market information databases and a controlled product use study. In total 44,100 households and 18,057 individual consumers in five European countries provided data using their own products. All product use occasions were recorded, including those outside of home. The raw data were analysed using Monte Carlo simulation and a European Statistical Population Model of exposure was constructed. A significant finding was an inverse correlation between frequency of product use and quantity used per application for body lotion, facial moisturiser, toothpaste and shampoo. Thus it is not appropriate to calculate daily exposure to these products by multiplying the maximum frequency value by the maximum quantity per event value. The results largely confirm the exposure parameters currently used by the cosmetic industry. Design of this study could serve as a model for future assessments of population exposure to chemicals in products other than cosmetics.

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  • Probabilistic modelling of European consumer exposure to cosmetic products. Food and Chemical Toxicology

    Food and Chemical Toxicology

    In this study, we describe the statistical analysis of the usage profile of the European population to seven cosmetic products. The aim of the study was to construct a reliable model of exposure of the European population from use of the selected products: body lotion, shampoo, deodorant spray, deodorant non-spray, facial moisturiser, lipstick and toothpaste.

    The first step in this process was to gather reliable data on consumer usage patterns of the products. These data were sourced…

    In this study, we describe the statistical analysis of the usage profile of the European population to seven cosmetic products. The aim of the study was to construct a reliable model of exposure of the European population from use of the selected products: body lotion, shampoo, deodorant spray, deodorant non-spray, facial moisturiser, lipstick and toothpaste.

    The first step in this process was to gather reliable data on consumer usage patterns of the products. These data were sourced from a combination of market information databases and a controlled product use study by the trade association Colipa. The market information study contained a large number of subjects, in total 44,100 households and 18,057 habitual users (males and females) of the studied products, in five European countries.

    The data sets were then combined to generate a realistic distribution of frequency of use of each product, combined with distribution of the amount of product used at each occasion using the CREMe software. A Monte Carlo method was used to combine the data sets. This resulted in a new model of European exposure to cosmetic products being constructed.

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  • Design, development and validation of software for modelling dietary exposure to food chemicals and nutrients. Food Additives and Contaminants

    Food Additives and Contaminants, 20, S8-26

    The Monte Carlo computational system for stochastic modelling of dietary exposure to food chemicals and nutrients is presented. This system was developed through a European Commission-funded research project. It is accessible as a Web-based application service. The system allows and supports very significant complexity in the data sets used as the model input, but provides a simple, general purpose, linear kernel for model evaluation. Specific features of the system include the ability to enter…

    The Monte Carlo computational system for stochastic modelling of dietary exposure to food chemicals and nutrients is presented. This system was developed through a European Commission-funded research project. It is accessible as a Web-based application service. The system allows and supports very significant complexity in the data sets used as the model input, but provides a simple, general purpose, linear kernel for model evaluation. Specific features of the system include the ability to enter (arbitrarily) complex mathematical or probabilistic expressions at each and every input data field, automatic bootstrapping on subjects and on subject food intake diaries, and custom kernels to apply brand information such as market share and loyalty to the calculation of food and chemical intake.

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Patents

  • RESOURCE ALLOCATION SYSTEM

    Issued US 12/959,848

    The present application provides a scalable system for managing requests for compute resources using a cloud computing architecture. The system estimates the total processing time of each computation in advance and monitors the progress of each computation to provide a more accurate estimate of remaining processing time. In this way, a determination may be made as each new computation request is received as to whether an additional resource is required or whether an existing resource would be…

    The present application provides a scalable system for managing requests for compute resources using a cloud computing architecture. The system estimates the total processing time of each computation in advance and monitors the progress of each computation to provide a more accurate estimate of remaining processing time. In this way, a determination may be made as each new computation request is received as to whether an additional resource is required or whether an existing resource would be suitable.

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  • PRINTING APPARATUS, IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM

    Issued US 12/762,228

    In image processing that performs an image search, user convenience is improved. An image processing apparatus includes a permitted time setting unit that sets a permitted necessary time for image search, a search condition setting unit that sets the number of search stages in series relations with each other and search conditions in the respective search stages on the basis of the permitted necessary time, and an image search unit that sequentially performs image search for the search stages…

    In image processing that performs an image search, user convenience is improved. An image processing apparatus includes a permitted time setting unit that sets a permitted necessary time for image search, a search condition setting unit that sets the number of search stages in series relations with each other and search conditions in the respective search stages on the basis of the permitted necessary time, and an image search unit that sequentially performs image search for the search stages by using the set search conditions.

    See patent

Honors & Awards

  • Trinity Innovation Award

    Trinity College Dublin

    The Trinity College Dublin Innovation Award for 2010 has been won by the founders of Creme Software, a company which assesses consumer exposure risk to food contamination and environmental concerns. It was founded as a TCD spin-out company of the Trinity Centre for High Performance Computing from research in mathematical physics and medicine at the University.

    Provost, Dr John Hegarty presented the award at a special award ceremony (February 17th) in recognition of the company’s…

    The Trinity College Dublin Innovation Award for 2010 has been won by the founders of Creme Software, a company which assesses consumer exposure risk to food contamination and environmental concerns. It was founded as a TCD spin-out company of the Trinity Centre for High Performance Computing from research in mathematical physics and medicine at the University.

    Provost, Dr John Hegarty presented the award at a special award ceremony (February 17th) in recognition of the company’s continuing success in growing and expanding into new markets:

    “Creme Software is a wonderful example of what can happen when academic researchers from very different disciplines get together and spark the unpredictable. In this case a nutritionist and a mathematician spawned a company that is spreading its tentacles across the world and addressing a societal need.”

    On receiving the award, co-founder and CEO of Creme, Cronan McNamara stated: “We are delighted to accept this prestigious award on behalf of everyone at the company. Innovation is a fundamental part of our work, and we believe that our focus on innovation will lead to even greater success for the company in the future.”

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