Dr. Austin Pollok

Assistant Professor

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Biography

Austin Pollok conducts research in quantitative empirical finance, focusing on stochastic optimization and forecasting using machine learning techniques. His research applications include trading, investing, finance, and decentralized finance (DeFi). Prior to his current role, he worked at Capital Group, where he consulted with hedge funds and DeFi companies.

Research Interests

Quantitative Empirical Finance Stochastic Optimization Machine Learning Decentralized Finance

Courses

Deep Learning AI Business Applications Data-Driven Consulting Statistical Computing Data Visualization Special Topics Introduction Python Business Analytics Business Analytics Python Analytics Edge: Data, Models, Effective Decisions

Requirements for University of Southern California

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
GRE General
Prerequisites
Bachelor's degree in Engineering, Math, or Hard Science
Application Checklist
  • Online application
  • Official transcripts
  • Personal Statement
  • Resume/CV
  • Letters of Recommendation (not required for MS CS, but allowed)
Specialization Notes

GRE is NOT required for Master's applicants for 2025-2026.