Xufan Lu
Master Student @ Technical University of Munich, Germany
I'm interested in Data Scientist
About
I am a Master's student in Information Systems at the Technical University of Munich (TUM), Germany. I completed my Bachelor's degree in Information Systems (Wirtschaftsinformatik) at TUM, graduating among the top 2% of my cohort. My research and professional interests lie in data science, software engineering, AI engineering, and human–computer interaction.
Research Interests
- Data Science
- Software Development
- AI Engineering
- Human-Computer Interaction
Resume
Download CVSummary
Xufan Lu
Data Scientist with 2+ years of industry experience designing and developing user-friendly Machine Learning and Large Language Model solutions. Currently writing a Master’s thesis in collaboration between the Technical University of Munich (Germany) and the Advanced Photon Source at Argonne National Laboratory (United States).
- Mülhauser Str.10A, 81379, Munich, Germany
- +49 15227069217
- xufanlu.joanna@gmail.com
Education
Master of Science & Information Systems
2024 - 2026
Technical University of Munich, Germany
Exchange Program & Computer Science
2022
National University of Singapore, Singapore
Bachelor of Science & Information Systems
2020 - 2024
Technical University of Munich, Germany
Top 2%, GPA 3.7/4.0 (USA) ; 1.3/1.0 (Germany)
Work
Data Scientist
2022 - 2025
Siemens AG, Munich, Germany
- Designed and delivered software solutions
- Evaluated Azure cloud services for internal low/no-code users
- Managed Mendix app as a product owner
Mentor & Coach
2020 - 2023
She.codes by TEC, Germany
- Conducted Python workshops and mentored teenage girls to promote coding literacy
Student Tutor
2021 - 2022
Technische University of Munich, Germany
- Conducted Python workshops and mentored teenage girls to promote coding literacy
Demos
Here are a few short demos of the projects I have been leading.
Dr.XAS
Dr.XAS modernizes the analysis process of the X-ray absorption fine structure analysis through the integration of large language models (LLMs) and explainable AI.
Process Discovery
A web application that applies Typed Jackson Discovery technique to discover collaboration process models
ALEX - Augmented Lecture Explainer
Alex combines transcript from live-streamed lectures with lecture slides as a knowledge base, enabling students to ask questions using chat functionality during live sessions and also for past lectures. It provides answers and, when relevant, offers visualizations to clarify concepts.
Awards
Bestintum Top 2% of the Year in TUM
Recognized among the top 2% of students at the Technical University of Munich for outstanding academic performance.
Scholarship: Max Weber-Programm Bayern
Awarded by the Elite Network of Bavaria for outstanding academic excellence and intellectual engagement.
Scholarship: TUM Junge Akademie (Youth Academy)
Selected as a TUM Junge Akademie scholar for interdisciplinary research and innovation in academia and society.