Dr. Elena Sierra

Instructor

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Biography

Elena Sierra is a graduate student pursuing a Master of Science in Computer Science and a Bachelor of Science in Electrical Engineering at Stanford University. She has gained valuable experience as a Machine Learning Research Intern and has been involved in various research projects focused on Machine Learning applications in environmental contexts. Her primary research interests include advancing sustainability through machine learning techniques, addressing dataset bias in modeling, and developing de-biased modeling methods. With a strong foundation in electrical engineering and computer science, she is committed to leveraging big data and deep learning to drive innovation in remote sensing and environmental informatics.

Research Interests

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.