Yuhui Liu
Head Grader For Introduction To Biology at Harvey Mudd College
Claremont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYuhui Liu is a multidisciplinary researcher and engineer with a decade of hands-on experience bridging computational biology and backend software development. Currently head grader for Introduction to Biology at Harvey Mudd College, Yuhui pairs classroom leadership and curriculum support with laboratory research on gene regulation and parasite differentiation. On GitHub they contributed to notable open-source projects including Shogun (adding Levenshtein distance and tree feature importances) and Databend (implementing date functions), demonstrating fluency in C++ and distributed systems. Their background spans assay development with CRISPR diagnostics, in silico protein screening validated by AlphaFold2, and tutoring in biostatistics and R, highlighting a rare coupling of wet-lab rigor and production-quality code. Colleagues describe them as someone who moves smoothly between writing unit-tested ML code and designing experiments—often surfacing practical tools from research insights. Based in Claremont, CA, Yuhui brings curiosity-driven engineering to problems at the intersection of biology, data, and systems.
10 years of coding experience
1 year of employment as a software developer
Harvey Mudd CollegeBeijing National Day School
Github Skills (15)
databases10
machine-learning10
artificial-intelligence10
c-language10
rust10
cpp-templates10
cprogramming-language10
data-science10
database10
c-templates10
testing9
olap9
cmake8
big-data8
database-design8
Programming languages (8)
Github contributions (5)
shogun-toolbox/shogun
Dec 2019 - Dec 2020
Shōgun
Role in this project:
ML Engineer
ML EngineerContributions:5 reviews, 48 commits, 39 PRs in 11 months
Contributions summary:Yuhui contributed to the `shogun` repository by adding a LevenshteinDistance feature, including the implementation in C++ and a unit test. Further contributions involved refactoring existing code, such as fixing member names and modifying inheritance structures within the distance module. Moreover, the user added feature importances for CARTree and other tree-based models, integrating them into the existing machine learning framework of the project. The user also implemented tests for mean squared error and other related metrics.
cmakedata-sciencegunc-plus-plusmachine-learning
databendlabs/databend
Jan 2022 - Jun 2022
𝗗𝗮𝘁𝗮, 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗔𝗜. Modern alternative to Snowflake. Cost-effective and simple for massive-scale analytics. https://databend.com
Role in this project:Back-end Developer
Back-end DeveloperContributions:5 reviews, 21 commits, 8 PRs in 4 months
Contributions summary:Yuhui contributed to the Databend project by implementing and modifying date-related functions. They added new functionalities such as "today", "yesterday", and "tomorrow" and registered them within the system. Furthermore, the user addressed issues by fixing tests and adding the "created_on" field to the DatabaseMeta structure. These changes suggest a focus on extending the core functionalities of the database system.
serverlesslow-costdata-warehousestoragequery-processing
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