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PhD, PurdueCS | Senior Applied Scientist, Microsoft Office AI | Generative AI for Software Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Microsoft Office AI
Data Scientist
June 29, 2026 – Present
REPOCOD
October 30, 2024 – August 27, 2025
For our ACL25 Paper: Can Language Models Replace Programmers? RepoCod Says ‘Not Yet’ - by Shanchao Liang and Yiran Hu and Nan Jiang and Lin Tan
View ProjectWaffle
October 23, 2024 – May 28, 2025
For ACL25 paper "WAFFLE: Multi-Modal Model for Automated Front-End Development" - by Shanchao Liang and Nan Jiang and Shangshu Qian and Lin Tan
View Projectresym
June 25, 2024 – April 10, 2025
For our CCS24 paper 🏆 "ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries" by Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, and Xiangyu Zhang. 🏆 ACM SIGSAC Distinguished Paper Award Winner
View ProjectLatte
March 7, 2024 – January 6, 2025
For our AAAI25 paper LATTE: Improving Latex Recognition for Tables and Formulae with Iterative Refinement by Nan Jiang, Shanchao Liang, Chengxiao Wang, Jiannan Wang, and Lin Tan
View Projectclm
January 23, 2023 – October 16, 2024
For our ICSE23 paper "Impact of Code Language Models on Automated Program Repair" by Nan Jiang, Kevin Liu, Thibaud Lutellier, and Lin Tan
View Projectknod
January 23, 2023 – September 28, 2023
For our ICSE23 paper "KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair" by Nan Jiang, Thibaud Lutellier, Yiling Lou, Lin Tan, Dan Goldwasser, and Xiangyu Zhang
View ProjectCURE
August 27, 2020 – December 8, 2022
For our ICSE21 paper "CURE: Code-Aware Neural Machine Translation for Automatic Program Repair" by Nan Jiang, Thibaud Lutellier, and Lin Tan
View Projectroad-network-predictability
May 27, 2020 – December 13, 2025
road-network-predictability — GitHub repository
View ProjectCultural Fit Analysis
The candidate's profile is heavily skewed towards academic research and personal projects, primarily in software engineering and AI/ML for program repair. While these skills are relevant to a Data Scientist role, the lack of diverse industry experience or projects outside of academic research might indicate a potential mismatch with a fast-paced, product-focused corporate environment. The target role 'Data Scientist' at 'Microsoft Office AI' aligns well with the technical skills, but the cultural fit regarding corporate collaboration and product development lifecycle is unproven.
Soft Skills & Operational Fit
The candidate's extensive involvement in research projects and academic publications suggests strong analytical thinking, problem-solving, and independent work capabilities. However, without specific psychometric test results or interview data, it's difficult to assess collaboration, communication, and stress handling skills directly. The focus on personal research projects might indicate a preference for individual contribution over team-based operational roles.