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CS PhD Candidate@UIUC | Prev. Research Intern @Microsoft @amzn AmazonAGI
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University of Illinois Urbaba-Champaign
Data Scientist
June 28, 2026 – Present
Awesome-Code-as-Agent-Harness-Papers
May 7, 2026 – Present
A curated list of papers and resources based on the survey "Code as Agent Harness"
View ProjectAwesome-Agentic-Reasoning
August 31, 2025 – Present
A curated list of papers and resources based on the survey "Agentic Reasoning for Large Language Models"
View ProjectAwesome-Flow-Matching-Meets-Biology
June 14, 2025 – Present
A curated list of resources for "Flow Matching Meets Biology and Life Science: A Survey". Nature Portfolio Journal Artificial Intelligence. https://www.nature.com/articles/s44387-025-00066-y
View ProjectSpherE
April 28, 2024 – December 22, 2025
SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval, SIGIR'2024
View ProjectL-STEP
April 19, 2024 – October 26, 2025
[ICML 2025] Learnable Spatial-Temporal Positional Encoding for Link Prediction
View ProjectRLHF-Reward-Modeling
March 21, 2024 – April 24, 2025
Recipes to train reward model for RLHF.
View ProjectDistributed-Intersection-Traffic-Coordination-With-Lease
April 21, 2023 – January 31, 2024
Distributed-Intersection-Traffic-Coordination-With-Lease — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic and research-oriented, which aligns well with roles requiring deep technical investigation and innovation. The diversity of projects, from agentic reasoning to traffic coordination, suggests a broad intellectual curiosity. However, the lack of team-based or industry-focused projects makes it difficult to fully assess cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.