David Malkin

David Malkin has an extensive work experience spanning multiple companies and roles. In 2012, they worked at Liquid Capital Group as a Quantitative Trader, where they developed liquidity taking and liquidity providing strategies, conducted statistical analysis of market impact from order book events, and had knowledge of futures market microstructure. Later, in 2015, they joined Cogent Labs as an AI Architect and Spinoza Ltd as a Director. The specific responsibilities and duration of these roles are not provided.

David Malkin completed their education in the field of computer science and engineering. David started their academic journey in 1999 by pursuing a Bachelor of Engineering degree in Electronic Engineering at King's College London, which they successfully completed in 2002. During their undergraduate studies, they also participated in a self-directed study program in Computer Science at The Cooper Union for the Advancement of Science and Art in 2001.

After their bachelor's degree, David Malkin joined UCL (University College London) to further their education. From 2002 to 2003, they pursued a Master of Science degree in Machine Learning. Following this, they continued their studies at UCL, focusing on Computer Science, and successfully obtained a Ph.D. in the field in 2008.

Thus, David Malkin's educational background includes a Bachelor of Engineering degree from King's College London, a Master of Science degree in Machine Learning from UCL, and a Ph.D. in Computer Science from UCL.