I finished my PhD in Machine Learning at the Cambridge University Engineering Department in 2013 focussing on Bayesian inference, nonparametric and kernel methods. I then worked in the London technology sector: in various tech startups and briefly in venture capital. I served as Principal Research Scientist at deep learning startup Magic Pony Technology, where we focussed on applying deep learning to the problem of lossy image and video compression. Following the acquisition of Magic Pony by Twitter in 2016, I served as Senior Machine Learning Researcher at Twitter where I worked on a range of ML-related projects including computer vision, recommender systems and helped set up Twitter's ML Ethics, Transparency and Accountability (META) team. I joined the Department of Computer Science and Technology in 2020.

Other than my university role, I run AI retreats for high-school students in Hungary, and have set up a scholarship fund for talented students from Ukraine.

I am the founder and head of ACM India's education initiative, CSpathshala, which is dedicated to enhancing access to and quality of K-12 informatics education across India. Today, over a million students in schools are learning the CSpathshala curriculum. Additionally, I serve as a visiting faculty at the Tata Institute of Social Sciences and have contributed to several committees focused on developing computer science curricula.
In my role as head of Education and Skilling within Tata Consultancy Services' (TCS) Corporate Social Responsibility (CSR) division, I lead programs across 44 countries aimed at equipping youth, particularly from underrepresented communities, with essential informatics education and 21st-century skills.
Prior to joining CSR, I spent over 30 years as a Principal Scientist at the Software Engineering Research Lab at Tata Research Development and Design Centre (TRDDC). My research interests during this period spanned language processing, modeling, model-driven development, enterprise software testing, and process modeling.

Anna Szlavi is a researcher at the Norwegian University of Science and Technology in Trondheim, Norway. She has done extensive research on gender and intersectionality, specifically within IT and STEM. She has been leading EU-level projects targeting gender inclusion for several years. She has also given lectures, presentations, and workshops on DEI (Diversity, Equity, and Inclusion), gender-inclusive language, and inclusive design.