cv

Basics

Name Elisath Fittschen
Email elisabeth.fittschen@studium.uni-hamburg.de

Work

  • 2019 - 2022
    Tutor for Computer Science II/III
    TU Clausthal Computer Science Department
    Leading tutorials every two weeks, grading homework and exams, and designing quiz questions in theoretical computer science.
    • Grading Exams
    • Designing Quiz Questions
  • 2018 - 2019
    Tutor for Math I/II for Engineers
    TU Clausthal Mathematics Department
    Leading tutorials every week, grading homework and exams for engineering students.
    • Grading Exams
    • Leading Tutorials
  • 2018 - 2019
    Student Worker
    TU Clausthal Datacenter
    Working on network automation using tools like Ansible, Napalm, and Netmiko.
  • 2016 - 2017
    Student Researcher
    Kunz Laboratory, Washington State University
    Introducing mutations into plants, verifying the success of the process, and assisting in current lab projects.
    • Verifying Mutation Success

Education

  • 2022.10 - Present

    Hamburg, Germany

    MS
    University of Hamburg
    Computer Science
  • Clausthal-Z., Germany

    BS
    Clausthal University of Technology
    Computer Science

Publications

Skills

Computer Science
Python
Java
C++
C
React
Slurm
Git
Docker
PyTorch
keras
scikit-learn
NLTK
SpaCy
Gensim
Pandas
NumPy

Languages

German
Native speaker
English
Fluent

Interests

Computer Science
Machine Learning
Natural Language Processing
Network Security

Projects

  • 2023.05 - 2023.10
    Interactive Annotation Data Visualization Tool
    A tool that allows interactive user manipulation of the embedding space.
    • Supervised by Dr. Cris Biemann and Tim Fischer
  • 2023.05 - 2023.11
    The Language of Zelda
    ChatGPT agent based language learning game prototype.
    • Supervised by Dr. Frank Steinicke and Sukran Karaosmanoglu
  • 2024.11 - Present
    Historical Language Modeling
    Efficient pretraining of small language models for historical data isolation.
    • Supervised by Dr. Tom Lippincott and Dr. Craig Messner
  • 2024.10 - Present
    Legal Latin Handwriting Transcription
    A handwriting transcriber for the low-resource field of Latin legal protocol.
    • Supervised by Dr. Tom Lippincott and Dr. Hale Sirin
  • 2024.11 - Present
    Solving NYT Connection
    Evaluating a variety of approaches on the well-known New York Times Connection Puzzle.
    • Supervised by Dr. Tom Lippincott
  • 2024.09 - Present
    Continuous Time Embedding Topic Model
    Adaptation of the dynamic Embedding Topic Model (DETM) to handle continuous time data.
    • Supervised by Dr. Tom Lippincott