Daniel is an assistant professor at UCSD with a joint appointment between the Department of Computer Science and Engineering and the Department of Mathematics. He holds B.S. from MIT and Ph.D. from Harvard.
Areas of Expertise:
EdX
Discover the art of designing algorithms and mastering computational problem-solving with our Algorithmic Design and Techniques course on edX. Whether you're a beginner or looking to enhance your expertise, this course will equip you with the essential tools and techniques needed to tackle intricate problems efficiently.
EdX
Discover the core principles of data structures, from basic concepts like arrays and linked lists to more complex topics such as trees, heaps, and graphs. This course is designed for those who want to enhance their understanding of how data can be organized and manipulated efficiently in computer science.
EdX
Discover the power of Graph Algorithms to navigate complex networks efficiently. This course teaches essential concepts like exploring graphs, finding shortest distances, constructing minimal spanning trees, and identifying connected components. Perfect for data enthusiasts, aspiring software developers, and anyone curious about how algorithms shape our digital world.
EdX
Dive into the realm of complex problem-solving with our NP-Complete Problems course on edX. This course is designed to equip you with a deep understanding of computationally hard problems that challenge even the most advanced algorithms. You'll explore the intricacies of these problems and learn how to tackle them using sophisticated algorithmic strategies.