Iris began her studies with a dual degree between Sciences Po Paris and Pierre and Marie Curie University, in political science and mathematics, a  choice driven by her taste for challenge and a desire to keep her horizons open. During this program, she studied in the United States as part of an exchange at Johns Hopkins University, where she discovered the application of mathematics to public health.

She then pursued a dual degree between Sciences Po and HEC, aiming to gain skills in management and strategy. 

After her studies, she joined the Boston Consulting Group, where she worked on various projects, including those in the healthcare sector. Invited to a seminar organized by Entrepreneur First, she met Chloé Geoffroy, marking the beginning of an adventure rooted in a shared vision: to be entrepreneurs, yes, but to transform reality. To make an impact.

Chloé Geoffroy is a pharmacist (Universite Paris Cite) and engineer in chemistry (Chimie ParisTech) with a deep passion for decoding the brain through an interdisciplinary lens that blends chemistry, mathematics and physics. During her PhD at the École Normale Supérieure she designed hybrid experimental-computational methods to control drug activity in time and space, by linking a molecule’s physicochemical traits to its biological micro-environment. The purpose: sharply reduce off-target actions and therefore side-effects -an early step toward safer brain therapeutics.

After her post-doctoral work, she wanted to put this expertise to work for a cause close to her heart: precision medicine, with the goal of reducing inequities in treatment response across patient populations. At just that moment, an invitation to an Entrepreneur First seminar introduced her to Iris Maréchal; recognizing their shared values and complementary skills, Chloé and Iris co-founded Theremia to turn their vision into reality.

Dr. Florent Périn-Dureau is a psychiatrist and neuropharmacologist. He has over 20 years of experience in the field of pharmaceuticals and healthcare products, with dual expertise in clinical practice and regulatory affairs.

He has held several leadership positions in both public and private institutions, notably at the "DP3 - Neurho" Product Division at the French National Agency for Medicines and Health Products Safety (ANSM), where he headed a department focused on neurology, psychiatry, and pain management. He also served as Director of Clinical Research and Innovation at Hôpital Foch, overseeing multicenter clinical trials on innovative drugs and medical devices. 

As the Chief Medical Officer of Theremia,  Florent acts as the key link between clinicians, regulatory agencies, and technical teams. He ensures that the product built aligns with clinical needs and helps identify strategic partnerships for data acquisition and clinical validation.

Thaïs is Product Manager at Theremia. After completing a preparatory program in economics, she joined ESCP Business School, where she specialized in deeptech entrepreneurship. Before joining Theremia, she held several Product Manager positions in diverse tech environments, allowing her to build solid expertise in product development and team management.

Senior Machine Learning Engineer with a robust foundation in both microelectronics and biomedical engineering, holding degrees from Telecom Paris and Imperial College London. He developed deep expertise in data science and data engineering through strategic projects in Machine Learning. At Theremia, Jean leads the development of the pharmacological algorithm, leveraging his skills in modeling, machine learning, and data processing.

PhD in Computational Neuroscience and MBA graduate, leading AI projects in healthcare. Spearheaded European Medicines Agency-funded research on Bayesian methods for clinical trials and led international collaborations with major industry partners.

Federico joined Theremia as a Research Scientist, where he works on PK/PD modelling and develops algorithms for personalized drug administration. He holds a background in Mathematical Engineering, and earned  a PhD in Statistics from Bocconi University, where he focused on Bayesian modelling for complex data structures.  He then pursued a postdoctoral fellowship at the Ceremade laboratory at Université Paris-Dauphine. His academic path, at the intersection of applied mathematics and data science, has provided him with deep expertise in probabilistic modeling, which he now applies to challenges in precision medicine.

After completing a preparatory program in mathematics and physics, Lola was admitted to École des Ponts ParisTech. She then joined the prestigious Master’s program in Mathematics, Vision and Learning (MVA) at ENS Paris-Saclay, a leading course in applied mathematics, artificial intelligence, and data science. She also completed a software development internship at Amazon, a technically demanding environment focused on infrastructure, code quality, and optimization. At Theremia, she works on the patient algorithm for Parkinson’s disease. By combining medical data with predictive models, she explores how to fine-tune treatment parameters,  such as dosage, frequency, and formulation,  to match each patient’s individual profile. Her work draws on AI techniques and biomedical modeling approaches to support more personalized and adaptive care strategies.

Pau joined Theremia as part of his final-year internship for the prestigious MVA Master’s program (Mathematics, Vision, Learning) at ENS Paris-Saclay, a leading program in applied mathematics, artificial intelligence, and data science. Prior to that, he completed a dual Bachelor’s degree in Data Science and Mathematics in Barcelona. Throughout his academic journey, Pau completed internships in numerous research institutions, such as a 9-month internship at the Massachusetts Institute of Technology (MIT) , during which he successfully carried out complex, real-world projects. These experiences strengthened both his technical expertise and his problem-solving abilities. This outstanding academic and professional background now enables him to make a strong contribution to Theremia’s research and development projects, bringing real added value.

Margaux graduated from an engineer school, Mines  Nancy, and then joined the MVA (Mathematics, Vision, Learning) master’s programme at ENS Paris-Saclay where she studied machine learning, computer vision and neuroscience. After several years of experience as a Data Scientist Consultant she joined Theremia. Her strong academic background and expertise in data science applied to real world data (RWD), now allow her to contribute to the field of precision medicine.

Mathieu Even is a postdoctoral researcher at INRIA Montpellier since October 2024, working in the premedical project on causal inference and policy learning from medical data. He completed his PhD in 2024 at INRIA Paris and ENS Paris, with a thesis focused on decentralized, asynchronous, privacy-preserving, and personalized federated learning. He also holds a Master’s degree in Probability and Statistics from Université Paris-Sud and conducted research at Microsoft Research during an internship.

After two years in a preparatory program in Biology, Chemistry, Physics, and Mathematics (BCPST), Jeanne is now a second-year student at École Polytechnique. She plans to specialize in Artificial Intelligence and Machine learning next year. Combined with her strong background in biology, she aims to work in bioinformatics and healthcare applications.

Joana is a student at ESCP Business School, following two years of preparatory classes with a focus on advanced mathematics and geopolitics. During her internship at Theremia, she had the opportunity to work closely with the CEO and Product Manager. She took on cross-functional missions involving product development and commercialization, sales strategy design and implementation, as well as accounting and financial monitoring. This immersion in a health-focused deeptech startup allowed her to put into practice the knowledge acquired at ESCP and to gain a strong understanding of the operational and financial realities of entrepreneurship in the healthcare sector.