Holly Gregory is an AI Machine Learning Engineer at Anya, where she plays a critical role in developing trusted, innovative AI solutions that are transforming healthcare. With a strong background in computer science, electronics, and medical informatics, she contributes to advancing Anya’s award-winning technology. Reporting to Tech Lead Andrew Killingbeck, she collaborates closely with Pelin Aksoy Kapikiran, Anya’s Conversational AI Designer. Together, they create user-focused tools that empower individuals and healthcare providers.
As an experienced AI Machine Learning Engineer, Holly excels in designing ethical and reliable machine learning models. For instance, she leverages advanced skills in Python, TensorFlow, PyTorch, C++, and Java to solve complex technical challenges. Additionally, her experience in software development and hardware prototyping allows her to deliver robust, scalable solutions. As a result, her work strengthens Anya’s reputation as a trusted leader in healthcare AI.
Holly’s academic background also underscores her expertise. She holds a Bachelor of Engineering (BEng Hons) in Computer Science and Electronics from the University of Bristol. Furthermore, she is pursuing an MSc in Data Science, Technology, and Innovation at the University of Edinburgh. Her dissertation, focusing on molecular, genetic, and population health sciences, will further enhance her ability to develop impactful healthcare solutions.
Moreover, Holly is deeply passionate about creating AI tools that are inclusive, accessible, and transformative. Her interpersonal skills and extensive outreach experience enable her to collaborate effectively across teams. Consequently, she ensures that Anya’s technology aligns with its values of trust, empathy, and innovation, helping Anya to become 2024’s Winner of The National AI Awards for Healthcare.
Ultimately, Holly’s dedication, technical expertise, and ethical approach make her an invaluable part of Anya’s mission. Learn more about Anya’s transformative solutions on our product page.