Our Work - at a glance
Our research topics originate from conversations and strategic partnerships with industry. Through these partnerships, RiskLab’s research is constructed to be immediately impactful upon publication. All current research falls under one of our three pillars of expertise.
Machine Learning
Mathematical & Financial Modelling
Socially Responsible Investing (ESG)
RiskLab’s research into Machine Learning
in 2020 includes three areas: NLP (Natural Language Processing), Financial Applications,
and Reserve Engineering on Machine Learning Models.
Our research in Mathematical Modelling
includes two areas: Scores vs Factors, and
Asset Class & Crypto.
When it comes to the day-to-day operations of corporate entities, the term ESG (Environment, Social, and Governance) has been coined to categorically account for most externalities that often arise. Beyond that, the 17 Sustainable Development Goals of the United Nations provide a road map for innovation, which is at the core of RiskLab’s acitivities.
Industrial Innovation
Semiconductors
semiconductor chip manufacturing equipment, and refurbish imported equipment.
FIT Centre
Upskilling and re-skilling are two of the main challenges of corporations worldwide. With the advances that AI is bringing to
Sibli
Absorb information from thousands of known and underutilized sources and automatically generate interactive reports.
Eckermann Medical Group
Eckermann is an implant manufacturer founded in Spain in 1999. It offers a range of 14 bone level and tissue
Industry Partners
Academic Partners
