Curriculum Vitae and Publications of Noah Giessing

Noah Giessing is a Research Assistant at FIZ Karlsruhe Leibniz Institute for Information Infrastructure. He has good command of the operating systems Windows and Linux. He has gained experience in working with software such as Mathematica (some knowledge obtained via academic projects), LATEX (good command through curricular activity), Macaulay2 (good command through work on academic projects) and Polymake (some knowledge obtained through work on academic projects). He is skilled in programming languages Python (good command obtained through self-study and curricular activity, including good knowledge in the Deep Learning modules PyTorch and Transformers), Rust (good command obtained through curricular activity), MATLAB (good command obtained through curricular activity and internship) and R (some knowledge obtained in an academic course). He possesses proficiency in a wide range of languages including German (native), English (fluent, CEFR level: C1), Spanish (excellent command, CEFR level: B2), French (very good command, CEFR level: B2), Russian (good command, CEFR level: B1) and Dutch (good command, CEFR level: B1).

Research Interests

• Mathematical Information Retrieval
• Natural Language Processing
• Mathematical Physics

Teaching & Projects
2022– present
Research assistant 
zbMATH Open, Berlin.

08/2017–10/2017
Internship
Zuse Institute, Berlin.
Numerical Modeling of Biological Processes

2016–2017       
Teaching Assistant
Freie Universität, Berlin. 
Probability Theory, Numerical Analysis & Analysis

Extracurricular Training
December 2021– Self-study of NLP through Stanford course CS 224N.
https://web.stanford.edu/class/cs224n/

Education
April 2022– Present   
M.Sc. in Scientific Computing, TU Berlin.

April 2021– October 2021
Ph.D. in Mathematics, Ghent University.   
Worked on Tropical Data Science, Combinatorial Algebraic Geometry

October 2020– March 2021               
B.Sc. in Computer Science, Universität Potsdam. 
Courses in Computational Linguistics and Machine Learning

2017–2020                        
M.Sc. in Mathematics, Freie Universität Berlin. 
Thesis: On grid data and the Lefschetz fixed point theorem GPA: 1.3 = A (ECTS grade)

2013–2017     
B.Sc. in Mathematics, Freie Universität Berlin.
Secondary Subject: Statistics
Winter Term 15/16: Erasmus+ at UPC Barcelona
Thesis: Automorphisms of Riemann Surfaces GPA: 1.5 = A (ECTS grade)

Gießing, Noah; Deb, Madhurima; Satpute, Ankit; Schubotz, Moritz; Teschke, Olaf
Reducing the climate impact of data portals: a case study
Accepted for publication at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24), Washington D.C., USA, 14-18 July, 2024
Available on arXiv, 2024; 5 p.
DOI: 10.48550/arXiv.2406.03858

Satpute, Ankit; Gießing, Noah; Greiner-Petter, André; Schubotz, Moritz; Teschke, Olaf; Aizawa, Akiko; Gipp; Bela
Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange
In: SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington D.C., USA, 14-18 July, 2024; acm Association for Computing Machinery, 2024; ISBN 979-8-4007-0431-4; p. 2316–2320
DOI: 10.1145/3626772.3657945
DOI: 10.48550/arXiv.2404.00344

FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur GmbH
Department of Mathematics
Franklinstr. 11
10587 Berlin

E-Mail: noah.giessing [at] posteo.net (noah[dot]giessing[at]posteo[dot]net) 
noah.giessing [at] fiz-karlsruhe.de (noah[dot]giessing[at]fiz-karlsruhe[dot]de)