Heather Brooke began her interest in chemistry at a young age when she took a chemistry mini-course in 3rd grade. She later earned a BS in Chemistry from Lander University in 2002. Shortly after graduating, she obtained a position as a lab technician at Fujifilm in Greenwood, SC. After working there for 3 years, with both chemists and engineers, she decided to apply herself to a new challenge: graduate school.
Heather worked under Dr. Michael Myrick as a Copenhaver Fellow at the University of South Carolina, earning a PhD in Analytical/Physical Chemistry in 2010. She gained teaching experience by working as a lab instructor at Lander University for Consumer Chemistry and at USC for both General and Physical Chemistry labs.
Heather´s work in Infrared Imaging has been recognized in the spectroscopy community since 2009, and was featured on CNN´s Big I and NPR´s Science Friday. She continued her research in analytical chemistry as a postdoctoral fellow at the US Naval Research Laboratory through the NRC/RAP postdoctoral fellowship program with a focus on data fusion. She then spent 2 years working in the PAT group at Merck. She is happy to have joined the team at CAMO software, and is looking forward to getting back into the classroom.
Frank Westad received his M.Sc in Chemistry and Data analysis in 1988, and completed his Ph.D. thesis “Relevance and parsimony in multivariate modeling” in 2000 with the Norwegian University of Science and Technology. His working experience over the years includes positions as Research Scientist with SINTEF, Consultant with IDT GmbH (Germany), Application Specialist with CAMO and Senior Research Scientist at the Norwegian Food Research Institute (MATFORSK) and GE Healthcare. His experience also includes numerous scientific papers, presentations at international conferences and teaching statistics, chemometrics and multivariate methods for the industry. After being a consultant for CAMO the past two years, he now holds the position of Chief Scientific Officer in the company.
Lars is a specialist in multivariate analysis and chemometrics, with extensive experience in variable selection and validation. Lars received his M.Sc. in physical chemistry at the Norwegian University of Science and Technology in 2002, and finished his Ph.D. degree entitled “Development of chemometric methods for variable selection on microarray data” at the same university in 2007.
He has worked with statistical genetics and method development at the Center for Integrative Genetics/Norwegian University of Life Sciences. Lars has published and reviewed articles in chemometrics and bioinformatics journals, as well as developing software packages for multivariate and genetic analysis.
Prof. Waltraud Kessler, is a trained physicist who worked several years in industry programming control systems, with the emphasis on multivariate data analysis. Several years work at the Institut fuer Angewandte Forschung at Reutlingen University, Germany, gave her the opportunity to plan and conduct research work within European Projects. Mrs. Kessler, specialized on statistical experiment planning and design and advanced techniques in multivariate data analysis and connectionist networks (neural nets), together with process control by optical spectroscopy. The results have been published in several scientific publications and industrial patents.
She started teaching multivariate data analyses and experimental design in the early nineties, in the chemistry department of Reutlingen University (Hochschule Reutlingen). In 2002, she was awarded Honorarprofessor for her engagement in lecturing, at Reutlingen University. Furthermore, the LARS-prize for excellent scripts was awarded to her by the commission of Hochschuldidaktik an Fachhochschulen in Baden-Württemberg. Her current lectures are on multivariate data analysis and experimental design in the master course program Bio- and Process analysis.
Prof. Kessler holds courses for CAMO in German, in Germany.
Prof. Pedro Rodriguez, has more than 10 years experience in NIR spectroscopy and multivariate treatment of data, and has directed several doctoral theses and research works in this field.
Prof. Rodriguez holds courses for CAMO in Spanish, in Spain.
Barbara Giussani received a Laurea degree and a Ph.D. degree in Analytical Chemistry at the University of Insubria (Como - Italy). From 2005 she is a researcher in the laboratory of Analytical and Environmental Chemistry of the University of Insubria. She spent six months at the Chemometrics and Qualimetrics Group of the "Universitat Rovira i Virgili" (Tarragona - Spain). Her present research interests are focused on Chemometrics applied to Environmental Sciences, Catalysis and Cultural Heritage.
Dr. Giussani holds courses for CAMO in Italian, in Italy.
Gerben Mooiweer graduated from the Eindhoven University of Technology, Chemical Engineering and Chemistry department. He joined Sara Lee/CT/R&D in 1977 as a technologist on coffee roasting, decaffeination, nut fryer temperature control, rice drying and various other projects focusing on mathematical modeling. In 2000 he joined the CT/R&D Sensory Services Group as Statistician and Sensory Consultant. In this job he applied design of experiments and multivariate data analysis on a wide variety of data sources like sensory data, process data, and NIR/GC/MS spectra using The Unscrambler® software.
In 1989 he started to work for 1 day per week at the Eindhoven University of Technology as university teacher in the Separation Process Technology group of the Chemical Engineering and Chemistry department. In 2000 he switched to Laboratory for Industrial Mathematics Eindhoven (LIME) as a senior consultant.
With a master in Chemistry, followed by a MBA in food-processing industry, he works since 2002 in the field of analytical instrumentation and chemometrics applied to MIR, NIR & RAMAN spectroscopies.
Technical director of ISITEC-LAB, he manages with his team, PAT & laboratory projects as well as the development of NIR and RAMAN databases, developed through Unscrambler for the food-processing industry, beverages, chemicals and pharma/cosmetics.
He works presently on the complete French translation of Unscrambler, which will be available soon. Thomas published some application articles in reviews as NIR New …
Valerie works as research scientist in Sensory Science and Consumer Behaviour with Nofima, and lecturer in sensory and consumer science at the Norwegian University of Life Sciences (UMB) both located in Ås, Norway. She holds an MSc in Food Science and Sensometrics from ENITIAA, Nantes, France (1998) and a PhD in sensory science from the Norwegian University of Life Sciences Ås, Norway (2012). Prior to joining Nofima and UMB, Valerie worked for 10 years with CAMO as Chemometrics consultant, Product manager, Chief Executive Officer and Chief Technology Officer (1998-2008). She has 15 year's experience as a course leader in multivariate data analysis with The Unscrambler. Dr. Almli holds courses for CAMO in English and Norwegian, in Norway.
Dr Flåten worked as part of the process engineering group at GSK, where he led the chemometrics team in model development initiatives and NIR method development for manufacturing processes.
Dr Dimitris Alexandrakis received his degree in Molecular Biology from Queen Mary’s University London. He then moved to finance and the newsroom of Associated Press Television News where he was leading a team trying to decipher the masses of financial data generated every day during news gathering. Influenced by the data analysis challenge, Dr Alexandrakis returned to Life Sciences and earned his PhD in University College Dublin in Chemometrics and Vibrational Spectroscopy. During that time he researched ways of using rapid measurement techniques such as NIR and FT-IR together with traditional analytical techniques (GC, GC-MS, SPME and HPLC) to identify methods for rapid detection of pathogens on food products. He later moved to a post-doctoral position in Montpellier, France where he expanded his research in industrial chemometrics and Process Analytical Technologies. During his time in Montpellier he successfully worked on large site to site NIR calibration transfers and on using Chemometric methods to remove the effect of process or recipe changes on in-line PAT method performance. Dr Alexandrakis was then offered a position in GSK Global Manufacturing and Supply, Ware UK where he worked initially s a Chemometrician and later as the Lead site Chemometrician. During his time in GSK he worked on a multitude of products and processes including Oral Solid Dose and Respiratory products, PAT methods, regulatory submissions and continuous improvement projects. Dr Alexandrakis currently works for CAMO Software AS, a leading multivariate analysis software, as Business Development Director for the European Market. His focus is twofold, firstly on expanding the implementation of Process Pulse II CAMO’s real-time multivariate platform for the industry and secondly on expanding CAMO’s network of OEM collaborations and technology partners.
Sue is a senior scientific and metabolomics consultant with a background of 25 years in the pharmaceutical industry as a Research & Development manager and expert in clinical and pre clinical metabolomics. She specialises in analytical chemistry, particular NMR and MS, chemometrics and DOE. Recent research projects, based at the University of Cambridge focused largely on the identification of biomarkers of COPD and diabetes, with continuing emphasis on development of data analysis methods to aid this work. Recent consultancy projects include multivariate statistical analysis of combined transciptomic and metabolomic data, tablet texture profiles, and axion potential data. She has 50 publications in peer reviewed journals.
Hussain has a M.Sc in Applied Statistics, M.Phil in Quality Control and an MBA in Marketing. He has more than 10 years of experience in data and image analysis in applications of biostatistics, clinical research, market research, quality control, climate science, Analytical R&D and more. Hussain’s expertise as an applied statistician enables him to identify and adopt the statistical methodologies most suitable for various applications and industries. His strengths include analytical thinking and creative problem solving skills.
Dr. Hideyuki Shinzawa, research fellow at National Institute of Advanced Industrial Science and Technology (AIST), has actively carried out research and consulting activities in the areas of vibrational spectroscopy and multivariate data analysis. Shinzawa holds a M.Sc in Agriculture from the Graduate School of Science and Technology, Kobe University, Hyogo, Japan.
Dr. Sahni is a chemical engineer and received a Ph.D. in Applied Statistics with a focus on statistical process control (SPC) and Multivariate Analysis (MVA) from Institute of Technology, Trondheim, Norway. He has 10 years experience in research and development both in industry and academia, dealing with multi variate analysis related to medical diagnostics. His expertise areas include analysis of data originating from gene expression technology, proteomics and bio-spectroscopy.
He has hands on expertise on Measuring, monitoring and optimizing production processes using on/in-line implementation of Near Infrared (NIR) Spectroscopic instruments (Process Analytical Technologies).
He has held several positions including Manager Data Analysis Group, Diagenic ASA, Oslo, Norway to develop, evaluate and integrate statistical methods for analysis of gene expression data. Research Scientist, MILLS DA, Oslo, Norway, Technical in-charge of development and maintenance of calibration models for prediction of vital characteristics of several products using Near Infrared (NIR) spectroscopic instrument.
He is a visiting Scholar at the Bioinformatics Center, Jawaharlal Nehru University, New Delhi India. Course taught: Microarray Informatics and also a Visiting Lecturer at the Department of Food Science, Norwegian Agricultural University. Course taught: Experimental design (DoE) and multivariate data analysis(MVA).
Listed below are a few presentation/ publications made by Dr. Sahni
M. Tech from IIT Delhi, Black Belt with over 14 years of industrial experience with large automotive manufacturing organizations which includes execution of process improvement using Quality Management system, Six Sigma, TQM, Automotive Core Tools application i.e. FMEA, SPC, MSA, DOE. He has been involved in training and development of people from basic system tools to six sigma & lean tools for more than 2500 peoples.
He has worked in groups like Tata, Mahindra & Mahindra, Avtec (Formerly Hindustand Motors Ltd., PUP Division), Kirloskar Brothers Ltd. He has been instrumental in getting TS 16949 for these organizations in record time with the World's Best Certifying Agencies, including holding positions as Management Representative for ISO 9001, 14001, TS16949. He is Certified auditor for TS 16949, Lead auditor for ISO 14001 and certified auditor for CII Exim Award (Business Excellence Model based on TQM model of European Federation of Quality Management).
Roger Meder has a BSc and MSc in chemistry from Otago University in New Zealand. He then completed his PhD with Prof Sir Paul Callaghan at Massey University (NZ) in physics, specifically magnetic resonance imaging and spectroscopy. He spent 16 years at the NZ Forest Research Institute where he first started using The Unscrambler (DOS v5.11) to develop PLS calibrations of IR, NIR and NMR spectra with wood quality in order to provide rapid non-destructive measurement of end-product performance.
Upon moving to Australia in 2001, he spent a brief period at Queensland University of Technology and then joined the Commonwealth Scientific and Industrial Research Organisation (CSIRO) where he is currently Group Leader of the Forest Genetics, Genomics and Phenomics group within CSIRO Division of Plant Industry, which is located in Brisbane and Canberra.
He is an editor of the Journal of Near Infrared Spectroscopy and has guest edited two Special Issues dedicated to Applications of NIR Spectroscopy to Wood and Wood Products. His current interest is the application of NIR spectroscopy to allow non-destructive, in-forest, rapid phenotyping of thousands of individuals within tree breeding trials to provide tree breeders with additional measures of wood quality (other than growth and density) to improve breeding selection.
Jaco Minnaar obtained his MSc in Biochemistry in 2000 from the North-West University in South Africa. Jaco has 15 years extensive experience in research and laboratory management in the Agriculture, Biotechnology, Chemistry, Clinical Biochemistry, Food and Beverage and Pharmaceutical fields. Jaco Minnaar has strong background in ISO/IEC 17025 environments and is familiar with cGLP and cGMP Guidelines and has acquired hands on experience in operation, calibration and validations of sophisticated analytical instruments such as CE, HPLC, GC, GC-MS/MS, High Resolution MS/MS, FT-IR, Near Infrared (NIR) and other Spectroscopic Techniques.
Jaco Minnaar founded Timmerman Analytical in 2006 with the main objective to promote the use of multivariate data analysis and design of experiments (DoE) in South African Academic, Research and Private Industries.
Kim H. Esbensen has for more than 30 years been consulting to a wide range of international corporations, companies, regulating bodies, authorities, governmental institutions and commercial laboratories, developing cost and time saving solutions for clients in science, technology and industry within: bulk commodities, process and manufacturing industries (minerals exploration and processing, materials, energy, bio-based materials, pharma, plastics, food & feed, dairy, health, nutrition), European Commission regulation support (GMO detection, food & feed safety), geo-science, alternative energy, environmental monitoring and appropriate sampling in the analytical laboratory (automated, or batch mode)offering strategic experience and specific value-added competences within:
Reliable product and process characterisation is the critical success factor for minimising sampling variability and maximising efficient process control. PAT, SPC, MSPC or process chemometrics cannot achieve this goal if not based on representative data. Esbensen’s expertise is a continuing quest for representativity by counteracting heterogeneity under all conditions. The Theory of Sampling (TOS) can be applied to optimise sampling of all types of stationary and dynamic lots (processes) as well as for comprehensive analysis of manufacturing and processing variabilities. TOS is the key factor to identify solutions with improved efficiency contributing and guarding against unnecessary economic losses. Salient system analysis and auditing reveal objectively existing strongpoints as well as weaknesses with respect to current measurement systems and their performance. Identified deficiencies are immediately open to corrective action by invoking the appropriate competences from TOS, PAT and chemometrics.
Esbensen has been responsible for university education straddling more than 30 years a.o. leading three research groups in which capacity he has been responsible for supervising 55 M.Sc. and 20 Ph.D. and has subsequently developed a widely recognised continuing education concept which he is now bringing to CAMO’s curriculum.A key objective is a strong focus on optimal know-how transfer to course attendees with an aim to become more self-reliant, see e.g. - In 2003 he inaugurated the highly successful series of World Conferences on Sampling and Blending. In 2013 he founded TOS forum, an open access communication platform for the sampling and process analytical communities. An example of the competence Esbensen brings to CAMO’s course curriculum can be found here: . Proper sampling, total measurement uncertainty, variographic analysis & fit-for-purpose acceptance levels for pharmaceutical mixing monitoring Esbensen’s CV and full documentation can be found at his business homepage.
Sébastien Preys est Docteur en chimiométrie et Ingénieur en agroalimentaire. Il est depuis 10 ans chef de projets au sein d'Ondalys, société spécialisée en chimiométrie qui propose depuis 15 ans des services, des études et des formations en analyse de données multivariées pour l'ensemble des filières industrielles. Il a travaillé sur de nombreuses applications d’étalonnage multivarié, d’identification des leviers de la qualité, de croisement de données instrumentales et sensorielles, applications d’authentification, en métabolomique, analyse de données multi-blocs, plans d’expériences et supervision de procédés.
Sandra Aubert est Ingénieur en chimiométrie. Elle est depuis 3 ans data analyst au sein d'Ondalys, société spécialisée en chimiométrie qui propose depuis 15 ans des services, des études et des formations en analyse de données multivariées pour l'ensemble des filières industrielles. Elle a travaillé auparavant chez un équipementier NIR puis dans un Centre Technique agricole. Elle a traité de nombreuses applications d’étalonnage multivarié, d’analyse exploratoire, de modélisation quantitative et qualitative sur des données spectroscopiques et analytiques.
Sylvie Roussel est Docteur en chimiométrie et Ingénieur agronome. Elle a créé et dirige la société Ondalys depuis 2003, société spécialisée en chimiométrie qui propose depuis 15 ans des services, des études et des formations en analyse de données multivariées pour l'ensemble des filières industrielles. Elle a travaillé sur de nombreuses applications d’étalonnage multivarié, d’analyses exploratoires, de fusion multicapteurs sur des données spectroscopiques ou analytiques.