resume
General Information
| Name | Xiqiang Liu |
| Languages | English, Chinese |
Education
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2023 - 2025 (Expected) Master of Science
University of California, San Diego - Major: Electrical Engineering (Track: Intelligent Systems, Robotics, and Control)
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2019 - 2023 Bachelor of Science
University of California, San Diego - Major: Data Science
- Minor: Business / Cognitive Science
Experience
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2022 - Present Graduate Student Researcher
Davidson Lab @ UC San Diego - I served as the lead maintainer of Geodata, a Python library designed to streamline geospatial data collection and pre-analysis, which library aims to simplify the process for researchers to discover, access, and utilize diverse geospatial datasets for efficient power system modeling.
- The library contains easy-to-use interface to retrieve commonly used climate dataset, such as ECMWF Reanalysis v5 (ERA5), through its public API.
- I developed a geospatial modeling interface within Geodata, aimed at enabling intuitive and efficient wind speed modeling at global scales. Leveraging Numba Just-in-Time (JIT) compilation, the interface ensures parallelized computation processes for enhanced performance.
- By leveraging the functionalities of the unit test package pytest, I implemented tests to validate the core functionalities within the library. These tests cover crucial aspects including the download, validation, manipulation, and modeling of geospatial datasets, thereby ensuring high code quality. The testing pipeline was integrated into GitHub’s continuous integration (CI) system, which performs unit tests with each new commit.
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2022 - 2023 Undergraduate Researcher
Su Lab @ UC San Diego - I was the main contributor of ManiSkill2, a large-scale robotic manipulation benchmark. This robotic manipulation benchmark is a leading benchmark in the field. It has also received widespread attention in the robotics research community.
- Using the principle of agile software development, I created a high-precision assembly manipulation task AssemblingKits with millimeter-level precision.
- Using motion planning, generated expert demonstration datasets for many rigid-body manipulation tasks for demonstration-based algorithms.
- I ensured quality of the benchmark by testing functionalities of all rigid-body manipulation tasks in the benchmark.
- I also worked on a research project that tries to under the essential requirements for state-of-the-art multi-modal large language models (MLLM) to comprehend spatial relationships.
Teaching
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2023 - 2024 Teaching Assistant
Department of Cognitive Science - Serve as a Teaching Assistant for COGS 14A: Introduction to Research Methods under the supervision of Professor Steven Barrera. My main responsibilities include grading course quizzes and exams.
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2022 Undergraduate Tutor
Department of Computer Science and Engineering - Serve as an undergraduate tutor for CSE 158: Web Mining and Recommender Systems under the supervision of Professor Julian McAuley.
- My main responsibilities include holding office hours and answering questions on the course's Piazza page.
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2022 Instructional Assistant
Department of Cognitive Science - Winter Quarter 2022: Serve as an Instructional Assistant for COGS 14A: Introduction to Research Methods under Professor Rafael Nunez. My main responsibilities include grading course quizzes and exams.
- Spring Quarter 2022: Serve as an Instructional Assistant for COGS 108: Data Science in Practice under the supervision of Professor Jason Fleischer. Main responsibilities include running the course's autograder and answering student questions on Piazza.