Dr. Daniel Hsu

Associate Professor

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Biography

Daniel Hsu is an Associate Professor in the Department of Computer Science and a member of the Data Science Institute at Columbia University. His research primarily focuses on algorithmic statistics and machine learning, contributing to foundational aspects of data science and machine learning theory. He has been actively involved in mentoring various students and postdoctoral researchers in their academic pursuits. Hsu’s work emphasizes the significance of rigorous theoretical understanding in the development of statistical machine learning algorithms. He has collaborated with outstanding talents in the field and is dedicated to advancing the discipline through both research and education. His contributions to numerous conferences as a program chair and committee member highlight his influence within the academic community. Daniel’s dynamic approach to teaching and research continues to inspire a new generation of scholars in data science and machine learning.

Research Interests

Experience

Associate Professor

2015-01-01 — Present

Columbia University • New York, NY

Teaching and conducting research in computer science and data science.

Requirements for Columbia University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:100
IELTS
Overall
Required:7.5
Prerequisites
Bachelor's degree or international equivalent
Application Checklist
  • Online application
  • Transcripts
  • Statement of Academic Purpose
  • Personal Statement
  • Three letters of recommendation
  • CV or Resume
  • Application fee
Specialization Notes

Department of Anthropology (GSAS)