Mikail Memis is a data scientist specializing in cybersecurity, currently working as a Security Incident Manager and Data Analyst at UBS. With a foundational background in data science from ZHAW School of Engineering, Mikail has participated in a hackathon co-organized by Roche, where they tackled challenges related to antibiotic treatments in newborns using innovative biosensing technologies. Prior to their current role, Mikail served as an AI Trainer and Quality Reviewer at Outlier, enhancing generative models and ensuring the high quality of AI-generated content. They also gained experience in banking and portfolio management at Aspermont Capital AG and in fund data management at Credit Suisse.
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