Steffen Remus

Steffen Remus, Dr.rer.nat.

Professional Title: Postdoctoral Researcher & Lecturer
Location: Hamburg, Germany

How to reach me (preferably in that order):

1. LinkedIn
2. Github
3. Institutional
4. OrcId
5. Google Scholar

A highly dedicated research engineer with over 10 years of professional hands-on experience in:

• Developing machine learning algorithms and managing large-scale data engineering projects, with a primary focus on natural language processing.
• Software engineering, utilizing industry-standard tools and processes.
• Leading and managing individuals and teams, fostering individual growth and collaboration.
• Administering and maintaining server infrastructure.

I actively share my expertise through my current role as a (co-) lecturer and advisor, and as a freelance consultant for industry partners. As a researcher, I thrive in fast-paced environments and I am committed to staying at the forefront of advancements in machine learning and AI. I approach challenges with patience and a strong attention to detail, and I excel in bridging technical expertise with effective communication, ensuring strong teamwork and maintaining high levels of motivation. My leadership style is collaborative and adaptive, focusing on fostering a positive team environment, encouraging open communication, and empowering individuals to reach their full potential.

Core Skills & Expertise

NLP
ML
GenAI
Information Extraction
Information Retrieval
LLMs
RAG
Fine Tuning

CI/CD
TDD
Containerization
Webservices
Orchestration
Web Front-End Development

SQL
NoSQL
Vector Databases
MapReduce
Cluster Management
DFS
ETL

Research Collaborations
Teaching
Supervision
Project Management
SCRUM
Workshop Organization

Critical Thinking
Algorithmic Design

Technical Skills

Python
Java
JavaScript
TypeScript
R
LaTeX
Scala
C#
HTML/CSS
React / Next.js

AWS
GCP
Azure
Docker
Linux
SSH
CSSH
GH Actions
Ansible

Languages & Interests

German (native)
English (fluent)
Spanish (basic)
French (basic)

06/2023: Ph.D. (Dr.rer.nat.) in Computer Science (Language Technology) @ University of Hamburg, Hamburg, Germany
Thesis: "Domain Defining Context: On Domain-Dependent Corpus Expansion and Contextualized Semantic Structuring"

10/2012 M.Sc. in Computer Science @ Technical University of Darmstadt, Darmstadt, Germany
Thesis: "Automatically Identifying Lexical Chains by Means of Statistical Methods -- A Knowledge-Free Approach"

10/2009 B.Sc. in Computer Science @ Technical University of Darmstadt, Darmstadt, Germany Thesis: "Next-Gen IDE – Evaluation Of Statistical Approaches For Intelligent Code Completion"

Volunteering

• Member of the appointments committee (Berufungskommission) for the Machine Learning professorship, University of Hamburg (2020/21)

Certifications

• Attended 28th European Summer School in Logic, Language and Information (ESSLI), Bolzano-Bozen, Aug 2016

Research Projects

• JOIN-T2: Joining Ontologies with Text (03/2019–02/2022)
• WebAnno meets EXMARaLDA (06/2017–01/2019)
• BIMDanube: Network of Excellence on Biomedical Information Management in the Danube Region (01/2017–03/2019)
• JOIN-T: Joining Ontologies and Semantics Induced from Text (2016–2017)
• Knowledge Discovery in Scientific Literature (KDSL) (04/2013–06/2016)

Visiting Researcher

• Bar Ilan University, Ramat Gan, Tel Aviv, Israel — 04/2014–06/2014 (with Omer Levy & Prof. Ido Dagan)
• Indian Institute of Technology (IIT) Kharagpur — 02/2019–04/2019 (with Animesh Mukherjee & Pawan Goyal)

Organizing Committee & Program Committee

• Organizer/Co-organizer for GermEval shared tasks (2019, 2020) and multiple workshops (Biomedical Information Management 2018 & 2019; IBM Watson workshop 2014)
• Reviewer for conferences: EMNLP, ACL, AAAI, CONLL, *SEM, NAACL, EACL, AACL-IJCNLP, Coling, LREC, GSCL/KONVENS, COLM
• Reviewer for journals: TPAMI, TACL, NLE
• Workshop reviewing: TextGraphs, SemEval, WAC

Curricula

• University of Hamburg: multiple lecturer and teaching assistant roles in Research Software Engineering, Python for Computational Science, Deep Learning for NLP, Web Interfaces for Language Processing Systems, Applications with Aspects on Language Technology, Software Engineering I, Deep Learning for Unstructured Data, Statistical Methods of Language Technology, Machine Learning I, Practical Applications in NLP.
• Technical University of Darmstadt: Lecturer and teaching assistant roles including Q&A Technologies behind IBM Watson, Algorithms of Language Technology, General Computer Science.

Thesis Supervision

I provide dedicated supervision for student helpers, inters and academic theses, including ten Bachelor’s theses, eleven Master’s theses and three independent studies up to date. I regularly lead one-on-one progress meetings on a weekly or bi-weekly basis, ensuring consistent academic development, timely completion, and overall project success

• 2022: Mentor for a student research project awarded €10,000.
• 2019: Awarded over €3,000 by the German DAAD office for international research in India.
• 2015: Best mentoring award for “Algorithms of Language Technology” exercise lab.
• 2013, 2014, 2016: ACL Travel Grants.
• 2013–2016: KDSL Graduate School Fellowship.
• 2013: Travel grant of €1,000 from Freunde der TU-Darmstadt e.V.

• (Co-)authored over 30+ peer-reviewed papers.
• Contributed to 50+ open source project repositories on various version control platforms (github, bitbucket, sourceforge, ...) of which I am maintainer/creator of 20+ projects.