The Voleon Group
Yao Cai is a skilled Software Engineer at The Voleon Group since September 2019, with a background in scientific research and teaching. Previously, Yao served as a Graduate Researcher at the University of California, Berkeley, where a significant contribution included designing and developing a Python library for high-throughput quantum mechanics modeling. Yao also excelled as a Graduate Student Instructor, leading discussion sections and receiving commendations for teaching effectiveness. Other professional experiences include a role as an Applied Scientist at Zillow, research positions at the Institute of Physics and Beijing National Lab, and as a Student Researcher at Wuhan University. Yao holds a PhD and a Master's degree in Materials Science and Engineering from the University of California, Berkeley.
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.