About Vadim Borisov
I am an AI/ML postdoctoral researcher at the Hospital of the University of Tübingen, where I apply advanced machine learning and explainable AI techniques to understand the microbiome’s role in cancer development. I am also the Co-Founder of Tabularis.ai, where we develop next-generation generative AI to create highly realistic and privately secure artificial data.
I received my PhD in Machine Learning and Computer Science from the University of Tuebingen, focusing on the inference, generation, and explainability of deep learning models, particularly for tabular data. My interdisciplinary background includes artificial intelligence, machine learning, computer vision, bioengineering, and data science. In my research, I use a variety of methods, including neural networks, generative models, and reinforcement learning. Prior to my current roles, I was a Visiting Researcher at Translated and a Research Fellow at Reutlingen University.
My work focuses on advancing generative AI, large language models, and AI safety, with applications in various fields, such as healthcare, fintech, and so forth. I have contributed significantly to synthetic data generation and have developed innovative methods to enhance data privacy and utility. Currently, I lead projects on artificial data generation and advancing machine learning techniques for microbiome research.
If you are looking for a research or applied internship in the area of synthetic (artificial) data, privacy, structured data, please directly contact me. Also, I’m open for collaborations, please see my research interests below:
Research Interests
- Tabular Data
- Generative AI
- Large Language Models
- Artificial (Synthetic) Data
- Artificial Datasets
- Explainable AI
- AI Safety and Data Privacy
- Neural Networks
- Machine Learning for Healthcare
- Fintech Applications