Our team

About me

Carl is an industrial engineer with a passion for solving complex problems and improving knowledge sharing in healthcare systems. He completed his PhD at the University of Cambridge, where he focused on enhancing information flows and collaboration within NHS Estates and Facilities departments. His research drew on in-depth case studies across seven NHS Trusts and a Delphi study involving 165 participants to identify practical strategies for better knowledge exchange.

Carl’s journey with the NHS began during the first wave of the COVID-19 pandemic, when he volunteered at the NHS Cambridge University Hospitals NHS Foundation Trust. There, he assessed the resilience of medical oxygen supply systems at Addenbrooke’s Hospital, an experience that sparked his long-standing commitment to improving how the NHS operates behind the scenes.

Having worked closely with NHS teams for several years, Carl is driven by a deep understanding of the system’s challenges - and a strong belief in the potential of technology to address them.

About me

Before founding INNEX, Jan pursued a PhD in Applied Natural Language Processing (NLP) at the University of Cambridge, specialising in using AI to improve customer experience (CX). His work on leveraging large language models to enhance personalised interactions with conversational agents.

With expertise in AI, NLP and CX, Jan has a strong understanding of how technology can transform user interactions and solve real-world challenges. His work bridges cutting-edge AI research with practical, user-centred applications, positioning him as a leader in developing intelligent AI solutions that deliver measurable value.

About me

Before joining INNEX, Andrew completed a PhD and postdoctoral position at the University of Cambridge's Department of Engineering, where he developed novel machine learning algorithms to detect heart disease from stethoscope recordings.

His research involved close collaboration with NHS trusts and clinical teams. This work led to a win in the international 2022 George B. Moody PhysioNet Challenge and was featured in the UK Parliament, as well as on BBC and ITV News.

Andrew has published multiple journal articles on healthcare machine learning, presented at national and international conferences, and holds a patent.

About me

Leonardo holds an MA (Hons) in Economics from the University of Glasgow and an MA (Hons) in User Experience Design from the University of the Arts London, where he collaborated with the BBC and Barbican Culture Mile London on user-centred design research.

With over five years of experience as a product lead and strategist, Leonardo has built HR-tech products from the ground up, leading cross-functional teams, shaping product strategy, and delivering innovative solutions that prioritise real user needs.

Leonardo is part of the EWOR Scouts, a global community of early-stage tech startups, and a member of the Kinetic investment network, where he actively supports and collaborates with emerging ventures across the startup ecosystem.

About me

Beixi Hao is an MBA candidate at the University of Oxford’s Saïd Business School and holds a Master’s degree in Computer Science from Yale University. Beixi began their professional journey as a Software Engineer at Oracle Cerner Corporation, where they contributed to enterprise healthcare solutions at scale. With a multidisciplinary background across technology, venture capital, and social innovation, Beixi has since taken on technical leadership roles at Adsystech, Tyree Tech, Pacifica, and TrustAI—building data-driven platforms and AI-enabled products for global impact. In addition to their engineering and product experience, Beixi has worked as a Venture Investment Analyst at BAI Capital and Redpoint China Ventures, supporting early-stage investments in AI, fintech, and digital infrastructure. Beixi is also a published researcher in natural language processing and machine learning, and remains dedicated to applying technology to address systemic challenges in both business and society.