Enes is a seasoned data scientist and machine learning specialist, having honed his expertise in various settings, from multinational corporations like Styria to rapidly expanding startups like Noom. His most recent endeavor involved a collaborative project with the Genomics Institute of Singapore, where he leveraged advanced machine learning techniques to tackle complex challenges in the field of genomics.
ML in Genomics
Genomics is a rapidly expanding field that has recently benefited from a convergence of numerous technological and scientific advancements. In genomics, we confront a unique set of challenges, such as intricate data pipelines and metrics, alongside evaluation methods that are still not well established. In this presentation, we will explore the application of machine learning techniques to genetic sequences derived from natural samples, focusing on the methodologies we employ to classify the corresponding organisms