Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1).
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Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2).
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Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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Paper Title Number 4
Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Paper Title Number 5, with math \(E=mc^2\)
Published in GitHub Journal of Bugs, 2024
This paper is about a famous math equation, \(E=mc^2\)
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
DSC20-Programming and Basic Data Structures for Data Science
Undergraduate Lower Division Courses, Winter 2019, HDSI, UCSD, 2019
- Title: Tutors (Undergrad Instructional Assistant)
- Introduction course to the structures that underlie the programs, algorithms, and languages used in data science. (Recursion, Higher-Order Functions, Data Structures, etc.)
- Instructor: Prof. Marina Langlois
DSC40A-Theoretical Foundations of Data Science I
Undergraduate Lower Division Courses, Fall 2018, Fall 2020, HDSI, UCSD, 2020
- Title: Tutors (Undergrad Instructional Assistant)
- Introduction course to the theoretical foundations of data science. (Probabilistic Reasoning, Mathematical Modeling of Data, and Algorithmic Problem Solving)
- Instructor: Prof. Janine Tiefenbruck
DSC10-Principles of Data Science
Undergraduate Lower Division Courses, Spring 2018, Spring/Fall 2019, Winter 2021, HDSI, UCSD, 2021
- Title: Tutors (Undergrad Instructional Assistant)
- Introduction course to develops computational thinking and tools necessary to answer questions that arise from large-scale datasets. (Data Processing, Modeling, Analysis, Python.) Course Link Note: This is shared link for all dsc10 courses.
- Instructor: Prof. Janine Tiefenbruck
DSC190-Introduction to Data Mining
Undergraduate Upper Division Courses, Spring 2020, Winter 2021, HDSI, UCSD, 2021
- Title: Tutors (Undergrad Instructional Assistant)
- Introduction course to Data Mining which focuses on introducing current methods and models that are useful in analyzing and mining real-world data. Course Link
- Instructor: Prof. Jingbo Shang