Brice Lemke

Brice Lemke is a highly skilled Quant, Data Scientist, and Machine Learning Engineer with a strong focus on financial markets and blockchain technology.

His educational background includes a Graduate Certificate in Artificial Intelligence, Data Mining and Applications, and Quantitative Methods in Finance and Risk Management from Stanford University. He also holds a Master's degree in Physics from Rutgers University and a Bachelor's degree in Physics, Philosophy, and Math from the University of California, Berkeley.

Brice has held significant roles in various prestigious organizations, including as a Principal Data Scientist at Karmel Capital and in past positions such as Principal Data Scientist at Situationist Enterprises, Quant Engineer at Infoplay AI, Senior Research Scientist at Octic Capital Management, and Senior Quantitative Analyst at HedgeServ.

Previously, he has worked as an Analyst at PanAgora Asset Management, Quantitative Analyst at Geode Capital Management, Quantitative Finance Consultant independently, Assistant Portfolio Manager at Mellon Capital Management, Pricing Analyst at McKesson, Lead Programmer at Somatic Vision, and as a Researcher at Lawrence Berkeley National Labs.

With a diverse professional background and a deep understanding of quantitative methods and financial analysis, Brice Lemke brings a wealth of expertise and experience to the fields of data science, machine learning, and financial markets.

His passion for leveraging data-driven insights to navigate the complexities of financial systems and emerging technologies like blockchain sets him apart as a knowledgeable professional in the industry.