🌱 Currently:
- IMPRS-IS Computer Science PhD Student, currently at the Explainable Machine Learning Group and Computer Graphics Group groups (University of Tuebingen). My supervisors are Zeynep Akata and Hendrik Lensch and my expected graduation date is early 2025.
🌱 Recent Publications:
- NeurIPS 2023 Spotlight: In-Context Impersonation Reveals Large Language Models' Strengths and Biases.
- NeurIPS 2023 Workshop ML for Audio (Oral): Zero-shot audio captioning with audio-language model guidance and audio context keywords
- Check out my Google Scholar and Semantic Scholar for a full list of my publications.
🌱 Previously:
- Research Scientist Intern at NVIDIA with Ekta Prashnani and Joohwan Kim, Santa Clara, US working on integrating actions into vision-language models (2024).
- Research Intern at Bosch Center for Artifical Intelligence with Volker Fischer, Renningen, Germany working on self-supervised learning for NLP & CV and using transformers for text summarization (2018).
🌱 Technologies:
- AI: PyTorch, Transformers, Tokenizers, Tensorflow, Keras, Numpy, Pandas, W&B, Tensorboard
- Tooling: Git, SLURM, Hydra, LangChain, Linux, FAISS
- Programming Languages: Python, Java, C#, VB.NET, C, C++, Matlab
🤔 Most of my current work focuses on multi-modal problems such as vision and language as well as explainability and zero-/few-shot learning.
📫 Reach me for collabs or just general questions here.
You can find me on X or LinkedIn - for my research and latest updates, check out my Google Scholar and Semantic Scholar!