Satish Anjilvel is a mathematician and data scientist with a career spanning academia, finance, and technology. After getting a bachelor’s degree from McGill University, he went on to complete his PhD in Mathematics at the Courant Institute at New York University — studying under the renowned mathematician Peter Lax.
He taught mathematics at Duke University and then transitioned to mathematical modeling in medicine. His experience includes modeling particle deposition in the lung at Duke University Medical Center, and brain imaging analysis at Columbia University. He has also worked at the Duke Clinical Research Institute, where he built a predictive model of complications of type 2 diabetes using clinical data.
From there he went to Wall Street where he was a “quant”. At Morgan Stanley he focused on quantitative modeling of equities. He went on to serve as Vice President at Goldman Sachs for over eight years, focusing on analysis and trade ideas for fixed income futures.
He later transitioned into data science, serving as Principal Data Scientist at a start-up (MaxPoint Interactive). There he developed and built audience-targeting models for online advertising. The start-up went public while he was employed there. He has also worked at the wealth management firm Raymond James as a Principal Data Scientist, where he used NLP, including LLMs, to improve operational efficiency.
Throughout his career, Satish Anjilvel has demonstrated unusual versatility — moving fluidly between pure mathematics, Wall Street quantitative finance, digital advertising technology, medical research analytics, and academic instruction.