Our Team
Maxime Bollengier, Technical Expert
Ines Castillo, Project Manager
Nicolas Permanne, AI Engineer
Ines is an electromechanical engineer specialized in mechatronics, robotics, and automation (ULB), with experience at Quantoom Biosciences. She combines strong technical expertise in robotics with proven leadership and project management skills, developed through leading multidisciplinary teams and overseeing operational strategy.
Maxime is an electrical engineer from ULB and a PhD researcher in artificial intelligence at the VUB and the FARI Institute. He has worked as a machine learning consultant and researcher across academic and industrial settings, including Quantoom Biosciences, Univercells, and UZ Brussel. His expertise spans AI, computational modeling, and technology development.
Nicolas is a computer science engineer specialized in artificial intelligence from UCL. He is passionate about transforming complex systems into optimized solutions and possesses strong skills in AI, data science, and research. With a focus on applying his expertise to the medical and environmental sectors, he aims to create impactful solutions that address real-world challenges.
Our Partners
At Bollead, we take pride in collaborating with forward-thinking organizations across the life sciences and healthcare sectors. Our mission is to empower innovation through data-driven solutions, and we achieve this by partnering with companies that share our passion for advancing science and technology.
Whether it's designing computational models, optimizing processes, or building tailored in-silico tools, our clients trust us to deliver impactful solutions that drive real results. We value these partnerships and are committed to maintaining the highest standards of quality and collaboration.
Below are some of the companies we've had the privilege to work with. Their trust inspires us to push boundaries and continue shaping the future of life sciences.
Quantoom Biosciences
With Quantoom, we collaborated on the Ncode project, focusing on developing advanced computational tools for RNA design. Our role involved leveraging data science and in-silico modeling to optimize RNA sequences, improving manufacturability and therapeutic potential. This collaboration helped accelerate RNA-based innovation, providing efficient solutions for vaccine development.
Univercells
With Univercells, we worked on data-driven process optimization and modeling for bioproduction. Our focus was on enhancing manufacturing workflows and improving process efficiency through advanced data analytics and in-silico simulations. This collaboration contributed to optimizing bioprocess scalability and ensuring consistent product quality in large-scale biologics production.