Greater Paris Metropolitan Region
As CEO at IAC, I am committed to making European industry a force for the future through its products. I guide industrial leaders in positioning, designing, and manufacturing innovative solutions that transform their markets. We distinguish ourselves through sharp technical expertise, a strong on-the-ground presence directly with operational teams, and a transversal approach that connects talent and sectors. My role is to define and execute IAC's strategic vision to accomplish this mission, and to develop a firm dedicated to social progress, particularly gender equality. Expertise: Consulting, Strategy, Products, Innovation, Healthcare, Accelerating Time-to-Market, Design-to-Value, Design-to-Cost, Ecodesign, Due Diligence. Sectors: Healthcare, Industry, Consumer Goods
Our industrial customers look for competitiveness improvement of their products and processes. We support them on their strategy and technology challenges. My expertise is in the Product Leadership practice with a focus on Healthcare, for example: ♦ Strategic study and competitive positioning ♦ Design-to-Green; ♦ Design products that create a sustainable competitive advantage; ♦ Improve development processes to reduce NRCs and time-to-market. Examples of projects: ♦ Define the competitive positioning of a medical equipment player in type 2 diabetes; ♦ Develop the new product range of the leader in in vitro diagnostics; ♦ Relocate a best-seller in household appliances in France; ♦ Modular design of a range of 150 industrial compressors in Germany; ♦ Define a differentiating positioning for an industrial equipment player in emerging markets with the appropriate technical offer. Consulting | Strategy | Products | Innovation | Health | Accelerating time-to-market | Design-to-Value | Design-to-Cost | Ecodesign | Purchasing optimization | Competitiveness audit | Operational due diligence Medical equipment | Healthcare | Household appliances | Industrial equipment | Capital goods | Private Equity |
Supervision of a thesis about Machine Learning applied to care protocols in a Hospital at Home (HAH). The objective is both a better financial control of a HAH structure and a better quality of care, by giving visibility on projected care protocols at the time of patient admission. This objective will be achieved through a decision support system based on a detailed understanding of pathologies, the financial structure of the establishment and advanced Machine Learning tools.
Carried out strategic planning and performance improvement projects for startups to international companies.