Swati
Postdoctoral Researcher,
Research Institute CODE,
University of the Bundeswehr Munich,
Germany
AI Research Scientist | Advancing Fair & Ethical Practices in AI/ML
Hello! I’m Dr. Swati, an AI Research Scientist specializing in bias-aware explainable AI. My work focuses on bias mitigation, interpretability, and fairness in machine learning. My research spans Natural Language Processing (NLP), inferential commonsense reasoning, and cross-lingual transfer learning, particularly in under-resourced languages. I have also explored multimodal AI and computer vision, investigating how multiple data modalities interact to enhance model performance. Additionally, I have worked on continual learning, designing models that adapt and retain knowledge over time. Proficient in Keras, TensorFlow, and PyTorch, I am committed to building AI models that are powerful, ethical, and socially responsible.
Current Work & Research
At present, I am a Postdoctoral Researcher at the University of the Bundeswehr Munich, specializing in bias-aware AI. My commitment to leadership and management is evident in my role leading a work package within the Horizon Europe-funded MAMMOth project, where we develop cutting-edge multidimensional bias mitigation methods to embed fairness directly into AI system architectures. Through this role, I oversee teams, coordinate research efforts, and drive project goals within a large-scale, international initiative, ensuring effective collaboration and impactful research outcomes.
Academic Background
I earned my Doctoral Degree from Jožef Stefan International Postgraduate School in Ljubljana, specializing in bias analysis within cross-lingual news reporting, contributing to the Marie Skłodowska-Curie CLEOPATRA ITN project. Prior to that, I completed my M.Tech in Mathematics and Computing from IIT-Patna, where my early research at the AI-ML-NLP Lab focused on Visual Question Answering in the medical domain.
Let's Connect
If you are involved in AI research or development, whether in fairness and bias mitigation, NLP, or beyond, I’d love to connect and exchange ideas. Let’s collaborate to shape a future where AI is both powerful and responsible.
Publications
To see my publication list, click here.