Vice President, Machine Learning Research Manager, State Street
Can you tell us a little bit about your background, and how you ended up in your current role?
I am an Applied Math PhD, turned into Quant and Machine Learning (ML) Practitioner with over 10 years of financial sector experience.
What is the biggest challenge you face within your role today, and how are you looking to tackle it?
To balance between the extent and complexity of Machine Learning Investment research and business line expectations of simplicity and intuition.
Biggest success you achieved for 2018/ 2019 so far?
Making successful progress to address the above challenge!
What are your Key Objectives for attending the upcoming event?
What are you excited to be covering in your speaking session?
The new advancements in the implementation and interpret ability of machine learning methods in finance.
Which connections or content sessions, are you looking to engage with most at the event?
The keynotes, practical ML applications in finance.
What are you currently most inspired about in regards to AI & Emerging Tech for Finance?
The novelty of ideas and diversity of potentials.