Martin Norman
University: Lu University Business School
Bio: Martin Norman is a highly regarded American
professional investor, known for his deep market insights and exceptional investment decision-making
skills. He graduated from Yale University Business School with a Ph.D. in Finance and has accumulated
extensive financial knowledge and investment experience through both academic research and practical
application.
Benjamin Anderson
University: Columbia University, Washington
Research Areas: Applied Mathematics, Financial Mathematics
Bio: Benjamin Anderson's research focuses on
financial mathematical models and their applications, including areas such as risk management
and derivatives pricing. His work has played a crucial role in addressing real-world financial
problems and advancing the use of mathematics in the finance industry.
Andrew Taylor
University: Duke University
Research Areas: Computational Physics, Machine Learning
Bio: Andrew Taylor specializes in applying
machine learning and artificial intelligence techniques to physics problems. His research
includes using AI algorithms to simulate and predict the behavior of physical systems, as well
as developing innovative computational methods to solve complex physics challenges.
Dane Weinstein
University: Stanford University Research
Areas: Data Science, Statistics
Bio: Henry Martin's research focuses on
statistics and data science, particularly in high-dimensional data analysis and pattern
recognition. His work is significant in understanding complex data structures and developing
efficient algorithms.
Ashley Snowden
University: Lu University Business School
Bio: Ashley Snowden has 12 years of
extensive experience in the financial industry. She previously worked as a data analyst at
Grayscale Investments, where she gained deep insights into market trends, portfolio management,
and risk analysis. Seeking a more challenging role, Ashley joined Voidmetrix four years ago,
working under the leadership of Chief Analyst Martin, focusing on quantitative analysis and
market forecasting.