Rannie is a Masters’ student in Data Science at the London School of Economics. Before her studies in London, she worked for two and a half years in San Francisco as a portfolio analyst at BlackRock, where she witnessed the fast-paced development in Artificial Intelligence in different industries and decided to explore this field further. Rannie did her undergraduate studies at Cornell University in the United States, where she majored in Operations Research and Information Engineering. During her undergraduate studies, she participated in several research projects where she created classification models to detect political framing words using machine learning algorithms. In her career at BlackRock, she built tools for fund comparison using clustering methodologies. She is particularly interested in Natural Language Processing and its application in translation.
Ng Kwan Yee
Kwan Yee is studying International Relations (BSc with Hons) at the London School of Economics and Political Science. She has previously worked at the Department of Justice, policy think tanks and non-profit startups where she gained experience in law, research, and operations management. A member of the London Futurists group, she is especially passionate about AI strategy and aims to pursue a career in the field. She is currently conducting a thematic review of the intellectual intersection between AI and international relations as part of her dissertation and intends to continue this research in further studies.
Head of Speakers
Lovisa is currently undertaking a Global Masters in Management (GMiM) at the London School of Economics and previously attained a BSc in Sustainable Development from the University of St Andrews. Having worked for a global company in the private sector and for international non-governmental organisations she realised the need and potential for technology to facilitate and advance economic, social and environmental development. She is passionate about making AI and technology available for other students and professionals to enable an increase in the use of AI and realise its potential in all components of society. In the future, she wishes to improve corporations and their strategies in order for them to integrate AI and ultimately have a positive impact on global development and growth.
Ann-Sophie studied International Business Administration at WHU-Otto Beisheim School of Management in Germany and is currently part of the Global MSc in Management at the London School of Economics and Political Science. During the last couple of years, she completed internships in the microfinance, banking, strategy consulting and consumer goods sector, across Europe, Asia and Central America. In the future, she hopes to contribute to technology related change management in multinational corporations, as she is particularly interested in the impact of AI and big data on the healthcare and consumer goods sector.
Head of Exhibitions
Kefei is currently pursuing an MSc Data Science and Machine Learning at University College London. During her final year as a Mathematics undergraduate at Imperial College London, she was recruited into the Talent Programme hosted by Imperial College Data Science Society. With an interest in the financial applications of Big Data, she gained experience working in consulting and asset-management startups as a junior data scientist and Business Intelligence Engineer. She is also intrigued by applications of AI in healthcare and digital assistants, and hopes to specialise in Natural Language Processing and Reinforcement Learning.
Head of Marketing
Sean is currently pursuing a BSc Finance at the London School of Economics and Political Science. He has had previous experience in tech startups, in government (foreign service), and in education, and is passionate about adding value to society through strategies involving emerging technologies. Sean is an experienced practitioner of the Lean Startup methodology, and has had the opportunity to work in Agile teams to create consumer-centric product designs based on data-driven decisions. He is interested in the applications of AI in natural language processing and computer vision and intends to partake in further research in these fields.
Head of Ethics
Zo is a final year International Relations student at the London School of Economics and Political Science. He completed two internships at Google, the most recent of which was in the Artificial Intelligence Policy team. Zo is fascinated by difficult ethical questions surrounding AI development: for example, how does one go about reducing the potential ‘harm’ of a dual-use technology like AI, given that harm itself is such a contextual and contested concept? He is now following his passion for AI ethics and governance through a thesis on international AI governance structures, alongside his role at the AIBE. In his free time, he likes developing computer games, road-tripping, and delving into 19th century art.
Head of Operations
Catherine Rebecca Aboud
Catherine is currently studying the Global Master’s in Management Programme as the LSE. She recently completed her undergraduate degree in International Business Management and Spanish at Newcastle University. She is particularly interested in the interaction between culture and organisation across different industries and regions around the world as well as the internationalisation of business functions in the global environment. Additionally, she has worked in both small and large firms in developing countries creating international action plans for sustained growth. Her focus in AIBE is in the effects of AI on employment and its consequences for developing countries. She is also very passionate about the ethical implications of the advancement of AI technology on labour practices and how these changes will effect different countries in the future.
Head of Finance
Sarah is pursuing a BSc in Accounting and Finance at the London School of Economics. She recently completed internships in Investment Banking at Goldman Sachs and Lazard. Her interests within the realm of AI lie in the application of deep learning and the use of neural networks to mimic the human brain in recognising complex and intertwined patterns. Sarah is excited to see how this diverse area will influence the future of our work and how we can contribute to solve the ethical concerns that come with the technological shift.