Research as a Culture
MACRO-EYES began with a commitment to high-risk, high-reward research. Chief Scientist Suvrit Sra, PhD is a theorist of machine learning. CEO Benjamin Fels brought experience leading efforts to build systems that had to learn to survive, assessing risk and opportunity within the fractions of a second, across global markets. Dr. Sra is the Esther and Harold E. Edgerton (1927) Career Development Associate Professor of Electrical Engineering and Computer Science at MIT and a core faculty member in the MIT Institute for Data, Systems, and Society.
What makes AI unique is not machines; the learning is what matters. AI [done right] depends on being open to the world. Operationally, AI is continuous experimentation with data new and old - rebuilding operating principles and beliefs when the evidence stacks up. AI is a laboratory in the form of technology, rigorously governed by the principles of the scientific method.
We launched MACRO-EYES with a culture of experimentation, rigorous testing, and speed-to-deployment. This culture is shaped by Suvrit’s intent to set deep mathematical understanding of machine learning against real-world unsolved problems, and Benjamin’s years on a trading desk. Financial markets are relentless (the rate of change is unceasing), dense with data, competition is fierce and global, and success and failure are measurable – down to the fractions of a second. Getting financial markets right requires perpetual R&D; this culture of experimentation, rigorous testing, and rapidly-to-prototype was inspiration for MACRO-EYES.
MACRO-EYES is a deeply technical organization. The significant proportion of our team is devoted to machine learning. This team is defined by its diversity and the commitment to research: scientists with doctoral degrees in computational biology, computer science, physics, radio astronomy, and statistical neuroscience.