2022 – Global Head of Artificial Intelligence & Machine Learning for Cerberus Technology Solutions
2019 – Director of AI for Faculty
2018 – Head of Science for Faculty
2017 – Head of Research for Faculty
2017 – Honorary Senior Research Associate in Computer Science at UCL
2015 – Associate of McKinsey & Company
2015 – Teaching Fellow at Harvard University
2014 – Winner of the Gertrude and Maurice Goldhaber Prize from Harvard University
2011 – Awarded the Harvard University Certificate of Distinction in Teaching
2010 – Awarded the Anne Molson Gold Medal from McGill University
Dr. Feige is the Global Head of Artificial Intelligence and Machine Learning for Cerberus Technology Solutions, a subsidiary of Cerberus focused exclusively on leveraging emerging technology, data, and advanced analytics to drive business transformations.
Based in London, Dr. Feige leads the platform’s artificial intelligence (“AI”) and machine learning (“ML”) practice to apply data-driven solutions across Cerberus’ portfolio of investment as well as analyze value creation opportunities during diligence processes.
The former Head of Machine Learning and Data Science and Director of AI for Faculty, Ilya Feige is a renowned authority on the development of machine learning who has sat at the helm of a company dedicated to the development and deployment of safe AI.
Helping clients to achieve exceptional performance through the use of machine learning, Ilya uses his past experience as a Teaching Fellow at Harvard University to influence future generations of technology enthusiasts who will see the further development of exponential technologies.
Having also formerly been an Honorary Senior Research Associate in Computer Science at UCL and Head of Research for Faculty, Ilya is an expert in leveraging transformational technology for business growth – now working as the Global Head of AI & Machine Learning for Cerberus Technology Solutions.
Honoured with the Gertrude and Maurice Goldhaber Prize and the Governor General’s Silver Medal during his studies at Harvard University, Ilya has long marked his presence as an authoritative industry leader.
A world-class computer scientist with detailed expertise on how machine learning will shape the future, Ilya is hired globally as a machine learning speaker to help clients prepare for a highly technological future, powered by machine learning and AI.
What are the Four Types of Machine Learning?
There are three ways in which machine learning can happen, which are:
Supervised Learning – machines are taught by examples
Unsupervised Learning – machines study the input data, and identify patterns in the data to provide their own answers
Semi-Supervised Learning – machines study vast amounts of raw and unstructured data, analyses labelled data and then use the correlations in the labelled data to define the raw and unstructured data
Reinforcement Learning – the machine is given allowable actions and rules to learn from. When the desired goal is binary, the machine can learn from example.
But when the desired goal is mutable, the machine must learn by reward and experience – the data that is needed is reinforced to the machine as a desirable outcome.
lya Feige has the raw technical horsepower of a world-class research scientist, which he has used to accumulate an incredibly rare leadership experience set.
Ilya has led — both at the coal face and strategically — transformative work for Faculty, McKinsey, the NHS, and many other organisations. In terms of raw technical horsepower, Ilya was the overall top-ranked student in his undergraduate degree at McGill.
However, he uses his technical authority to help organisations succeed at deeply leveraging one of the most transformational technologies of our time: AI.
Ilya graduated from McGill University in Montreal, Canada with a BSc Honours in Mathematics and Physics, receiving the Governor General’s Award — single highest academic rank in class of 2010 (class of over 5,000 students).
Ilya went onto become the single top PhD candidate in theoretical physics at Harvard University.
Ilya joined Faculty in March 2017 and founded their AI research lab, creating a prestigious research network with Harvard and UCL in the process.
Securing almost £1M in external funding grants for AI Safety programme, Ilya hired a world-class team and published over 10 papers, including a single-author paper at ICML, as well as papers in NeurIPS and ICLR.
Ilya subsequently went onto work with Faculty’s CEO during his next role as Head of Data Science, leading the core work to successfully pivot the business that propelled growth from £1m – £6m.
Ilya led the most technically challenging projects, including the high-performance terrorist-propaganda-identifying system.
In March 2020, Ilya was seconded to lead Faculty’s work with the NHS.
At the beginning of the pandemic, the NHS culturally could not envisage how AI might be used to improve resource management.
After a year of convincing stakeholders across a highly distributed organisation, the NHS are now monitoring and moving resources around the country off the back of the forecasting system Ilya’s team built with them.
This system is truly cutting edge (Bayesian hierarchical modelling with explainability from Ilya’s NeurIPS paper), but the real breakthrough is seen in the daily briefings run by NHS leadership where they go through forecasts, making critical operational decisions, with a fluency that would have been utterly incomprehensible just one year before.
Having returned to Faculty at the end of 2020 as UK Director of AI, Ilya leads the development team that is bringing Faculty’s AI strategy to market — a strategy that Ilya developed and convinced the broader company to adopt — and is the critical technologist in the room for every important sales conversations.
Spanning research to product development to sales to delivery, Ilya is the person who can make AI real for organisations.