Bringing Modern Machine Learning to Asset Management

Cerebellum's machine learning system designs, executes, and improves trading strategies without the classic overfitting risks of traditional modeling.

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Redefining the Human-Machine Interaction

Data scientists gain the freedom to focus on the upfront investing frameworks while the machine handles discovering and selecting models within those frameworks.

Cerebellum
Where to start?
Intuitive Economic Framework
Limit overfitting risk?
ML Searches Widely
Which results evaluated?
ML evaluation of the search
Strategy selection?
Select by solving for: Max {Likelihood of future performance} Min {Correlation}
Traditional Quant
Where to start?
Test specific ideas (like crossover moving average)
Limit overfitting risk?
Limit Testing / Tuning
Which results evaluated?
Analyst Keeps the best
Strategy selection?
PM picks best results

Management

The management team shares a passion for bringing machine learning to asset management and have a long history of working together.

Conrad Gann

Conrad Gann

Chief Executive Officer

Conrad Gann

Chief Executive Officer
  • MBA from the MIT Sloan School of Management
  • President, COO TrimTabs Investment Research
  • Senior Vice President, Citadel Investment Group
Dr. David Andre

Dr. David Andre

Chief Scientist and CTO

Dr. David Andre

Chief Scientist and CTO
  • BS and BA degrees in Symbolic Systems and Psychology from Stanford University
  • PhD in Computer Science with a Major in Artificial Intelligence from University of California Berkeley, where he was awarded a Hertz Fellowship
  • Director of Informatics at BodyMedia

Contact Us

For job inquiries, investment opportunities and additional information, please reach out to us by completing the form below.


Cerebellum Capital
425 California Street, #1350
San Francisco, CA 94104
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