Charlie Marx
PhD Graduate Student @ Stanford University
About
My research focuses on uncertainty quantification, deep generative modeling, and decision-making in machine learning.
United States
Palo Alto
Higher Education
Machine Learning, Statistical Data Analysis, TensorFlow, Environmental Science, R, Python, Microsoft Excel, Tensorflow, PyTorch
Experience
PhD Graduate Student
Stanford University
Palo Alto, California, United States
Applied Science Intern
Amazon Web Services (AWS)
San Francisco Bay Area
Factuality for large language models
Applied Science Intern
Amazon Web Services (AWS)
San Francisco Bay Area
Uncertainty quantification for time series forecasting
Summer Researcher
International Food Policy Research Institute (IFPRI)
Washington, District of Columbia, United States
Research Assistant
Harvard University
Cambridge, Massachusetts
Education
Stanford University
Computer Science
Haverford College
Mathematics and Computer Science
Highest honors in Mathematics (1 of 4 recipients) Highest honors in Computer Science (1 of 4 recipients)
Charlie Marx's Contact Information
Phone
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