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Mary J. Elmore New Frontiers Professor, Department of Computer Science, Purdue University. Research Lab's github: https://github.com/lt-asset
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Purdue University
Data Scientist
June 19, 2026 – Present
llm-vul
May 26, 2023 – November 13, 2023
For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah.
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 Projectdisguide
January 20, 2023 – February 6, 2023
For our AAAI23 paper "DisGUIDE: Disagreement-Guided Data-Free Model Extraction" (Oral Presentation) by Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, and Lin Tan.
View ProjectDocTer
May 25, 2022 – July 19, 2022
For our ISSTA22 paper "DocTer: Documentation-Guided Fuzzing for Testing Deep Learning API Functions" by Danning Xie, Yitong Li, Mijung Kim, Hung Viet Pham, Lin Tan, Xiangyu Zhang, Mike Godfrey
View Projecteagle
September 2, 2021 – August 16, 2023
For our ICSE22 paper "EAGLE: Creating Equivalent Graphs to Test Deep Learning Libraries" by Jiannan Wang, Thibaud Lutellier, Shangshu Qian, Hung Viet Pham, and Lin Tan.
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 Projectdl-variance
August 19, 2020 – August 10, 2022
For our ASE20 paper 🏆 "Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance" by Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan. (🏆 Distinguished Paper Award!)
View ProjectCoCoNut-Artifact
May 27, 2020 – March 30, 2023
For our ISSTA20 paper "CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program Repair" by Thibaud Lutellier, Hung Viet Pham, Lawrence Pang, Yitong Li, Moshi Wei and Lin Tan
View ProjectCultural Fit Analysis
The candidate's profile is heavily skewed towards academic research and publication, which may indicate a strong fit for roles requiring deep R&D. However, the lack of diverse project types (all are 'personal' and tied to papers) and limited exposure to industry-standard practices or collaborative team environments outside of academic co-authorship suggests a potential gap in cultural fit for a typical product-focused Data Scientist role. The experience level is listed as 0, and the only listed experience is a future role at Purdue University, which further emphasizes a research-centric background rather than industry experience.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong research-oriented mindset and the ability to contribute to significant academic papers. However, there is insufficient data to assess soft skills like teamwork, leadership, or communication in a corporate setting, or operational fit beyond a research context.