Stephanie is the CEO and founder of Aestora, the AI research lab behind the Digital Health Score.
Previously, Stephanie worked with Google X, DeepMind, NASA, Harvard Innovation Lab, and Accenture on social justice initiatives. Her roles have been multi-functional covering Business Strategy, Public Policy, Data Science, and Product Managem
Stephanie is the CEO and founder of Aestora, the AI research lab behind the Digital Health Score.
Previously, Stephanie worked with Google X, DeepMind, NASA, Harvard Innovation Lab, and Accenture on social justice initiatives. Her roles have been multi-functional covering Business Strategy, Public Policy, Data Science, and Product Management.
Stephanie was awarded the UK’s Frank Knox Fellowship to complete her MPP from Harvard Kennedy School focused on data privacy, and was a researcher at Harvard Law School with the 're-coding the law' project. She holds an MA from St Andrews in Biblical Studies.
Alexander is entering his final year as a PhD student in AI at Imperial College London.
Alexander’s background is in physics and maths, and his focus is on AI and healthcare. He was a visiting PhD student in the Graph Machine Learning Group at USI Università della Svizzera Italiana and formerly, a part-time Research Assistant, leading str
Alexander is entering his final year as a PhD student in AI at Imperial College London.
Alexander’s background is in physics and maths, and his focus is on AI and healthcare. He was a visiting PhD student in the Graph Machine Learning Group at USI Università della Svizzera Italiana and formerly, a part-time Research Assistant, leading strategic data analysis in a healthcare project at Oxford University.
He holds a first-class MPhil in Statistics from Manchester University and two machine-learning OxML certifications in Finance and Healthcare.
Neven recently completed his PhD from University College London, working on decoding social behaviour from brain activity using machine learning.
Neven is proficient in Python for data engineering (Numpy, Pandas), statistical analysis, hypothesis testing, machine learning (Scikit-learn), and deep learning (Keras, PyTorch). Neuroscientist
Neven recently completed his PhD from University College London, working on decoding social behaviour from brain activity using machine learning.
Neven is proficient in Python for data engineering (Numpy, Pandas), statistical analysis, hypothesis testing, machine learning (Scikit-learn), and deep learning (Keras, PyTorch). Neuroscientist by training, Neven is a data scientist working alongside as a Doctoral Researcher at the Francis Crick Institute. He holds a PhD in Neuroscience from UCL and a BSc from St Andrews.
Veeraj is currently in his final year at the University of Bristol, where he is completing a Bachelor of Science in Computer Science.
Throughout his academic journey, he has honed his skills in cutting-edge technologies and developed a strong foundation in computational theory and software development.
Currently studying towards an integrated Master's in Computer Science at the University of Bristol, he is deepening his expertise in advanced computing concepts.
Alongside his studies, he is actively applying his knowledge in the tech industry, further enriching his practical experience in real-world applications.
Maria is currently a student in UCL, where she completing here Bachelors in Politics and International Relations.
She has a focus on Policy Making and Public Sector Economics, with further interest in statistics and globalisation and a background in computer science (Python and VB.NET).
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