OzU Machine Learning in Finance and Bioinformatics Lab

OzU Machine Learning in Finance and Bioinformatics Lab is a research lab in the Faculty of Engineering at Özyeğin University in Istanbul, Turkey. We focus on developing Machine Learning and Deep Learning methods for problems within Finance and Bioinformatics. We are especially interested in graph and time-series based modeling.

Topics

Machine Learning in Finance

This field is a relatively new interdisciplinary field, where machine learning techniques are used to analyze and predict different markets, including but not limited to stocks, options, cryptocurrencies.

Bioinformatics

Bioinformatics is an interdisciplinary field of science that develops methods and software tools for understanding biological data, especially when the data sets are large and complex. The subsequent process of analyzing and interpreting data is referred to as computational biology. In our lab, we especially focus on developing machine learning and optimization-based techniques for those problems.

Graph Machine Learning

Graph Machine Learning (GML) is the application of machine learning to graphs specifically for predictive and prescriptive tasks. GML has a variety of use cases across supply chain, fraud detection, recommendations, customer 360, drug discovery, and more. Graph Neural Networks (GNNs) are gaining attention for Graph Machine Learning problems.