Case Studies | Machine Learning Market

The case studies highlight some of the real world applications addressed and business solutions found by Pascal consultants.


Financial Prediction Gaining wealth on the stock market based on statistical arbitrage is an area ripe for the application of machine learning and related methods. UCL's clients include large financial organisations that require state of the art prediction methods based on both low to high frequency trading. UCL has developed state of the art prediction methods that track market dynamics which translate into profitable portfolio allocations. Success in this area demands an understanding of the underlying dynamics of the statistics underlying markets, and also when these dynamics changes.
Bonaparte Disaster Victim Identification System Society is increasingly aware of the possibility of a mass disaster. Recent examples are the WTC attacks, the tsunamis, and various airplane crashes. In such an event, the recovery and identification of the remains of the victims is of great importance, both for humanitarian as well as legal reasons. Disaster victim identification (DVI), i.e. the identification of victims of a mass disaster, is greatly facilitated by the advent of modern DNA technology. In forensic laboratories, DNA profiles can be recorded from small samples of body remains which may otherwise be unidentifiable.
Winestein, the computer with taste for wine A common problem when you organize a dinner or when you are in a restaurant and you get the wine list: what wine goes best with your dish? Winewinewine.com is a web-portal for wine. One of its distinguishing features is Winestein, the on-line sommelier. You can enter any dish of your choice by entering ingredients and cooking method. Then winestein will advise matching wines.

Financial Prediction

Gaining wealth on the stock market based on statistical arbitrage is an area ripe for the application of machine learning and related methods. UCL's clients include large financial organisations that require state of the art prediction methods based on both low to high frequency trading. UCL has developed state of the art prediction methods that track market dynamics which translate into profitable portfolio allocations. Success in this area demands an understanding of the underlying dynamics of the statistics underlying markets, and also when these dynamics changes.

Bonaparte Disaster Victim Identification System

Society is increasingly aware of the possibility of a mass disaster. Recent examples are the WTC attacks, the tsunamis, and various airplane crashes. In such an event, the recovery and identification of the remains of the victims is of great importance, both for humanitarian as well as legal reasons. Disaster victim identification (DVI), i.e. the identification of victims of a mass disaster, is greatly facilitated by the advent of modern DNA technology. In forensic laboratories, DNA profiles can be recorded from small samples of body remains which may otherwise be unidentifiable.

Winestein, the computer with taste for wine

Doctor A common problem when you organize a dinner or when you are in a restaurant and you get the wine list: what wine goes best with your dish?

Winewinewine.com is a web-portal for wine. One of its distinguishing features is Winestein, the on-line sommelier. You can enter any dish of your choice by entering ingredients and cooking method. Then winestein will advise matching wines.