Tatiana Merzhevich, M. A.

since 12/2023	Researcher & Doctoral Candidate Machine Learning and Data Analytics Lab, Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
10/2020 — 09/2022	M.A. in Computational Linguistics Eberhard Karls University of Tübingen, Thesis: “Analyzing Yakut Morphology using Finite-State and Machine Learning Approaches”
03/2021 — 09/2022	Research Assistant Seminar für Sprachwissenschaft, Eberhard Karls University of Tübingen
09/2015 — 06/2019	B.A. in General Linguistics Saint Petersburg State University of Aerospace Instrumentation, Thesis: “Problems of Syntactic Ambiguity in Translation”

12/2023 — 12/2026

Digital Twin for Clinical Trials

 

2025

• Tatiana Merzhevich, Alexandros Tanzanakis, Emmanuelle Salin, Claudia Quiering, Christoph Kurz, Benjamin Gmeiner & Bjoern M. Eskofier:
  Machine Learning Predictions of Overall and Progression-Free Survival in Advanced Breast Cancer
  Artificial Intelligence in Medicine (AIME 2025). Lecture Notes in Computer Science, Springer.

2022

• Tatiana Merzhevich, Nkonye Gbadegoye, Leander Girrbach, Jingwen Li, Ryan Soh-Eun Shim:
  Modelling Morphological Inflection with Data-Driven and Rule-Based Approaches
  NAACL 2022, SIGMORPHON workshop
• Tatiana Merzhevich, Fabrício Ferraz Gerardi:
  Introducing YakuToolkit
  LREC 2022, SIGUL

• Lorena Martín Rodríguez, Tatiana Merzhevich, Wellington Silva, Tiago Tresoldi, Carolina Aragon, Fabrício F. Gerardi:
  Tupían Language Resources
  LREC 2022, SIGUL

2021

• Fabrício Ferraz Gerardi, Stanislav Reichert, Carolina Aragon, Lorena Martín-Rodríguez, Gustavo Godoy, Tatiana Merzhevich:
  TuDeT: Tupian Dependency Treebank
  Universal Dependencies (UD)

Scrum Master in the Innovation Lab for Wearable and Ubiquitous Computing:

Semester	Project
SoSe 2024	Chat bot development for palliative care
WiSe 2024-2025	App development for point prevalence analyses (PPA)
SoSe 2025	Development of a camera-based app for secure blood transfusions

 

Thesis Supervision:

Duration	Type	Student	Title
12/2024-07/2025	Master’s	Amlan Jyoti Burgaohain	Machine Learning for a Plug-and-Play Digital Twin of the Production Resource