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David Wu

Senior Software Engineer

David Wu is a Senior Software Engineer at Shmoop, where he focuses on developing educational software solutions. His professional background includes a strong emphasis on software engineering principles and practices, particularly in creating maintainable and scalable code.

Education

  • Ph.D. in Electrical Engineering and Computer Sciences (EECS) - Expected May 2027, University of California, Berkeley.
  • B.S. in Mathematics and Computer Science - Graduated May 2022, Massachusetts Institute of Technology (MIT).

Research Interests

David Wu's research interests encompass:

  • Machine learning and deep learning theory
  • Optimization and statistical inference
  • Algorithms and complexity, particularly related to Markov chains

Work Experience

Before his current role at Shmoop, David has held various internships and positions that contributed to his expertise:

  • Algorithm Developer Intern at Hudson River Trading, where he worked on high-frequency trading algorithms.
  • Quantitative Trading Intern at Akuna Capital, focusing on futures trading algorithms.

Skills

He is proficient in several programming languages and frameworks, including:

  • Python (with libraries such as PyTorch and TensorFlow)
  • Java
  • LaTeX

Publications

David has authored several papers in the field of machine learning, including contributions to conferences such as NeurIPS and ICML.

This combination of education, research, and practical experience positions David Wu as a knowledgeable professional in software engineering within the educational technology sector.

Related Questions

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How did David Wu's work at Hudson River Trading influence his career?
What are some key achievements of David Wu in the field of machine learning?
How did David Wu's education at MIT and Berkeley shape his professional path?
What are the main topics of David Wu's published research papers?
David Wu
David Wu, photo 1
David Wu, photo 2
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Location

San Francisco Bay Area