News - Quantitative Research

• 28 Mar 2022

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Our aim is to support and assist PhD students and postdocs conducting research, particularly with costs that may be difficult to get funding for elsewhere, for example, travel for those who are caring for children, or expenses for […]

• 24 Jan 2022

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Our aim is to support and assist PhD students and postdocs conducting research, particularly with costs that may be difficult to get funding for elsewhere, for example, travel for those who are caring for children, or expenses for […]

• 08 Jan 2022

Last month, we were pleased to welcome Dr Katie Mack, theoretical astrophysicist and author of the best-selling book, The End of Everything (Astrophysically Speaking), as the latest speaker in our Distinguished Speaker Series event. Dr Mack’s talk – From the Big Bang to the End of Time – focused on her research into cosmology and […]

• 10 Nov 2021

Each month, we provide up to £2,000 in grant money to early career researchers in quantitative disciplines. Our aim is to support and assist PhD students and postdocs conducting research, particularly with costs that may be difficult to get funding for elsewhere (e.g. travel for those who are caring for children, or expenses for volunteer […]

• 02 Oct 2021

We were proud to be platinum sponsors of the 2020 Conference on Neural Information Processing Systems, or NeurIPS, in December. Following the conference, we asked some of our quantitative researchers to share the papers and research from the event that they found most interesting. Here’s what they came back with: Samuel M – Quantitative Researcher […]

• 21 Jan 2020

Andrew S – Quantitative Researcher Random deep neural networks are biased towards simple functions Giacomo De Palma, Bobak Toussi Kiani, Seth Lloyd Deep neural networks often have more parameters than datapoints in their training set, so one might naively expect them to be very overfit, and have poor generalisation properties.  They are fully capable of learning randomly-labelled […]

• 14 Jan 2020

Tackling maths problems in creative ways. Do you think you have the solution?

• 18 Dec 2019

Tackling maths problems in creative ways. Do you think you have the solution?

• 28 May 2019

Our quants are able to focus on research without numerous other distractions.