Ahmed holds a PhD in Machine Learning and brings over 7 years of experience in the field. As the Head of Machine Learning at TidalSense, Ahmed led the development of the company’s flagship medical device for COPD and Asthma diagnostics and authored the AI-related section of the technical documentation required for the regulatory approval of the TidalSense product as a Class 2A medical device. Their work exemplifies the integration of machine learning in healthcare, combining technical rigor with real-world applications.
Additionally, Ahmed was one of the key leads in the development of Sensight—a Pharma-focused platform leveraging CNNs, Transformers, and clustering for advanced patient stratification and insights. With a focus on delivering high-impact ML solutions, they have a proven track record of enhancing pipeline performance, implementing model drift detection, and optimizing workflows.