The Voleon Group
Prem Gopalan holds a Doctor of Philosophy in Computer Science from Princeton University, where Prem also earned a Master of Science degree. With a Bachelor in Engineering from Birla Institute of Technology and Science, Pilani, Prem has extensive experience in various roles at companies like The Voleon Group, Riverbed Technology, and Mazu Networks. Their expertise lies in machine learning, statistics, portfolio optimization, and market impact estimation. At Princeton University, Prem focused on scalable Bayesian inference, genetics, network, and recommendation datasets. Additionally, Prem has worked on distributed systems and service-centric networking layer implementation in the Linux kernel.
The Voleon Group
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Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning. The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines. Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility. The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.