MCAI Presents
AI Spotlight 2025
🗓️
TBA
Join us for an evening of insights as different players share their insights, experiences and expertise. Our speakers bring diverse perspectives from technology, business, and research, offering practical knowledge and innovative ideas.
Connect with fellow AI enthusiasts and professionals over wine and refreshments. Build meaningful relationships, exchange ideas, and explore potential collaborations in a welcoming and relaxed atmosphere.
Become part of Hong Kong's dynamic AI community. Share experiences, stay connected with the latest developments, and grow alongside passionate individuals shaping the future of artificial intelligence.
Nathan is MIT-trained and had held various quantitative roles at MIT, AI teams and quant funds. He is the co-founder of "Try it On AI", an web app that allows people to create professional headshots with generative tooling.
Gautier is a Quant at Abu Dahabi Investment Authority (ADIA); he is also the founder of the thriving Hong Kong and Abu Dhabi Machine Learning Meetups.
Kevin is a visting lecturer at University of Hong Kong (HKU) and Hong Kong University of Science & Technology (HKUST) where he teches a full-credit MBA course. He recieved his BBA in Economics from Wharton School and MBA from INSEAD.
Ka Hei (Julius) is a sessional entrepreneur, machine learning engineer and consultant for companies looking to adopt Deep Learning. Julius graduated from University of Hong Kong in Mathematics and has since worked at Nvidia, HKSTP, Hospital Authority, and AIA.
Ellen is a founding Director at Preface, a high-growth EdTech and Lifestyle brand headquartered in Hong Kong. Preface has years of experience in cultivating tech talents and enjoys a rapidly growing market share.
Olivier is a Partner and Manager in APAC at Ekimetrics - a leading Data Science Consultancy headquartered in Paris, France. Olivier is an alumni of INSEAD.
Yejin Bang is a Ph.D. Candidate at the Center for AI Research (CAiRE) at HKUST, specializing in NLP and Responsible AI. Her research encompasses safety in AI, LLM Evaluation, and Machine Human Value Alignment. Yejin's work has been recognized at key conferences such as EMNLP, NAACL, AACL.
Mohamed Sobhy studies Computer Science at HKUST and won notable engineering competition; he is also active in the startup scene.