Wayne Levin is the President and CEO at Predictum. He has been leading the charge of Predictum team for more than 25 years. He is passionate about delivering integrated analytical applications for engineers and scientists in various industries to improve productivity and operational performance. Wayne also leads statistical training courses and workshops, and speaks at conferences and events. He has forged a strong and longstanding partnership with JMP, a business unit of SAS Institute, as a major JMP customization and training partner. Wayne holds an M.A.Sc. in Engineering with a focus on research methods from the University of Waterloo and a B.A.Sc. in Industrial Engineering from the University of Toronto.

Cy Wegman is a Senior Analyst at Predictum. He specializes in data analytics and empirical modeling and optimization. Before joining Predictum, he worked for 38 years at Procter & Gamble, where his last assignment was the Empirical Modeling leader for the company. Cy is a member of the P&G Prism Society, which represents the top 1% of P&G engineers, for profitably applying his technical mastery. His contributions have resulted in hundreds of millions of dollars in annual savings. His cross-industry work in manufacturing, engineering, and R&D has spanned molecular-scale to full-scale technologies, as well as material, formulation, process, packaging, and consumer models. Cy holds a B.S. in Civil Engineering from Rose-Hulman Institute of Technology.

Phil is a Senior Data Scientist and Statistical Consultant at Predictum. He provides consulting services in data science, statistics, and machine learning for integrated analytical systems, custom projects, and training. He specializes in modern experimental design and analysis strategies and the use of statistics, data science, and machine learning in engineering and science.

In addition, Phil is a Professor in the Department of Mathematics and Statistics at the University of New Hampshire (UNH) where he teaches courses at the undergraduate and graduate levels in design of experiments, machine learning, and statistical methods for quality improvement. He has held the following relevant industrial positions: Senior Engineer for Materials and Processes Development, McDonnell Douglas, St. Louis, MO; Staff Scientist/Statistician, Alcoa Technical Center, Pittsburgh, PA; and Statistician/Senior Engineer, Rohm & Haas Electronic Materials (now Dow), Marlboro, MA.

Phil holds a Ph.D. in statistics from Virginia Polytechnic Institute and State University.

Marie is a Senior Data Scientist at Predictum. She specializes in predictive modeling, design of experiments, statistics, and machine learning. She has extensive experience in consulting and statistical training in a wide variety of industries.

Marie is Professor Emerita of Statistics at the University of New Hampshire (UNH), where she has worked extensively with students and companies on the practical application of statistics. She is also a co-author of two books, one of which is about the use of JMP software and statistical methods to improve quality and the other is about the partial least squares technique. She was also a statistical writer for several years as a member of the JMP documentation team at SAS Institute.

Marie holds a Ph.D. in Statistics from the University of Massachusetts at Amherst.

Asit Rairkar is a Senior Analyst at Predictum. He specializes in Design of Experiments, process and product development, and operations scale-up. He has over 18 years of experience in companies ranging from small startups such as MiaSolé to technology giants such as Apple, Applied Materials, and Lam Research. At Apple, he led two large projects in battery engineering, including building up its largest, on-site, battery-testing lab. At MiaSolé, a former thin-film solar start-up, he led efforts in process development, and the commissioning and running of its 24/7 pilot plant.

In addition, Asit is also an adjunct faculty member in Electrical Engineering at California Polytechnic University and has been a board-member and vice-chair for a non-profit organization.

Asit holds a PhD in Materials Science and Engineering from Arizona State University, a BS in Engineering from University of Pune, India and several specialization certificates in data science, machine learning, and deep learning.

Bernd is a Senior Data Scientist at Predictum, specializing in predictive modeling, design of experiments, and machine learning.

Prior to joining Predictum, Bernd worked as a JMP Systems Engineer at SAS Institute with various responsibilities in global sales and technical enablement for over 10 years. For many years, he had an active IT consultancy business, providing business process design, system development and project management services to his customers. He began his career as a biometrician, consulting with applied scientists on their research and development work in the fields of medicine and agriculture.

Bernd has also evaluated and supported registrations for new commercial and consumer products in the chemical industry. In corporate training, he has developed and delivered on-site and online statistical courses, tailored to the needs of engineers and scientists and their relevant application areas, for public and private clients. He is delighted to hear occasionally from participants who say they never before could have imagined that "applying statistics could be fun."

Bernd holds a M.Sc. in Statistics from TU Dortmund University, Germany.

JD specializes in consulting and training services on Microsoft Excel, analytics, and predictive modeling for R&D, engineering, and business. His short bio is coming soon.

Miha Jakovac is the Software Engineering Manager at Predictum. He leads the software development team in designing, developing, and testing integrated analytical applications. He has extensive knowledge and experience in back-end applications development, Azure cloud development, DevOps services for delivering business solutions in various industries. He is certified as a ScrumMaster by Scrum Alliance and as a MCSD App Builder and Azure DevOps Engineer Expert by Microsoft.

Before joining Predictum, he worked as a consultant, team lead, software architect, and engineer for various large and small Slovenian companies, including GEN-I, d.o.o., Evo-Teh, d.o.o., and Enerdat - S, d.o.o.

Miha holds a bachelor’s degree in Biochemistry from the University of Ljubljana.

Ben is a software engineer at Predictum. Drawing on his diverse scientific background, Ben works to develop applications across the ecosystem of Predictum products. His particular interests are machine learning and predictive modeling. Ben holds an M.Sc. in data science from Ryerson University and a B.Sc. in nanoscience from the University of Guelph.

Farhan Mansoor is a Software Engineer at Predictum. He specializes in integrated analytical applications development, machine learning, and is the development lead for Predictum’s CoBase application. Farhan holds a B.A.Sc. in Engineering Science from the University of Toronto.

Heidi is a software engineer at Predictum, specializing in integrated analytical application development.

Before joining Predictum, she worked in the magnetic recording industry where she transformed data from manufacturing and technology development into valuable insights. She has deep experience in wafer processing, metrology and product integration and took a special interest in image data, machine learning, and custom applications based on JMP Scripting Language (JSL) for engineers.

Heidi holds an A.B. in Physics from Harvard University and a Ph.D. in Physics from the University of Illinois at Champaign-Urbana.

Max Melendez De La Cruz is a Software Engineer and develops integrated analytical applications, such as the Predictum System Framework and Self-Validating Ensemble Modeling, in the ecosystem of Predictum products. He codes and implements features and functionality that support ETL processes, reporting, and analysis. He also helps onboard new development team members.

Before joining Predictum, Max worked as a Software Engineer Intern at a tech start-up company where he enabled third-party API integration, identified and applied DevOps best practices using GitHub, developed front-end software components, and deployed Amazon Web Services (AWS) for an in-house .NET application.

Max holds a B.Sc. in Computing Science from the University of Alberta.

Jason is a Senior Programmer/Analyst at Predictum. He specializes in software and IT development, database and equipment integration, and security risk identification and analysis. Jason holds a B.Math., specializing in Computer Science.

Journey Gault is a Web Developer at Predictum, specializing in web application development, quality assurance testing, and JMP Scripting Language (JSL) development. Before joining Predictum, he gained web development experience with a primary focus on HTML email development in the advertising industry. His other notable and interesting job roles include opera singer and brewmaster. Journey holds a Bachelor of Fine Arts in classical music, specializing in operatic vocal performance, from Concordia University, a diploma in Brewmaster and Brewery Operations Management from Niagara College, and a postgraduate diploma in Web Development from Humber College.

Angela is a Senior Account Executive at Predictum and is responsible for cultivating and managing a superior customer experience for clients and helping them to become familiar with Predictum's products and services. Before joining Predictum, Angela worked for 18 years in the aviation industry in various progressive positions, most recently as a Sales Support Manager of a manufacturer of aircraft equipment, where she oversaw sales accounts with major airline companies and equipment brokers in North America. She was also a Repair Co-ordinator for the supply chain management of a large aviation maintenance repair organization. She held several positions during her tenure at a large telecommunications company, where her most senior role was Customer Service Manager. Angela holds a Bachelor of Science in Business Management.

Austin specializes in business development, sales, and marketing. His short bio is coming soon.

Leslie (Les) Wubbel is the Product Manager of CoBaseKRM at Predictum. He provides strategic advice for sales and marketing campaigns and product positioning. He specializes in target market analysis and research of the pharmaceutical industry and the development and implementation of marketing campaigns. Before joining Predictum, Les was the President of OpenVessel LLC, a start-up company offering open-source diagnostic technologies based on machine learning and AI for 1.5 years, during which OpenVessel won the Nittany AI competition as a 2020 finalist. He now serves as a volunteer manager for OpenVessel, which has since become an open-source code project. Previously, he held internships at Sanofi U.S. in its Data Science department and Viral Technology department. Les holds a B.S. in biotechnology from The Pennsylvania State University.

Nathaniel specializes in sales, marketing, and business development. His short bio is coming soon.

Irena is the Office Manager at Predictum.