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 a Co-Founder of Tabularis.ai, where we develop novel generative AI techniques 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.

Opportunities for Collaboration and Internships

I’m actively seeking talented individuals and potential collaborators in the exciting fields of generative models (LLMs, diffusions), synthetic data, privacy-preserving machine learning, and tabular data. Here’s how you can get involved:

Research and Applied Internships

If you’re a student or early-career professional looking to gain hands-on experience in cutting-edge AI/ML applications, please write me an email.

Research Collaborations

I’m always open to new collaborations with fellow researchers, industry professionals, and institutions. Please contact me directly.

Areas of Interest for Collaboration and Internships:

• Tabular Data Analysis and Generation
• Generative AI and Large Language Models
• Artificial (Synthetic) Data Creation and Validation
• Explainable AI Techniques
• AI Safety and Ethical Considerations
• Data Privacy in Machine Learning
• Applications of AI in Healthcare and Bioinformatics
• Financial Technology (FinTech) AI Solutions
• yours

If you’re interested in an internship, collaboration, or simply want to discuss potential projects, please don’t hesitate to reach out. Your unique perspective could be the key to unlocking new insights in our field.

News

• [01/08/2024] Co-organize a NeurIPs 2024 workshop on tabular data learning. For more details, pleae visit: TBL workshop website
• [14/06/2024] Our new paper on large scalle synthetic data generation using open-source LLMs is accepted to the Data-centric Machine Learning Research workshop at ICML 2024. arxiv

Book a Free Consultation

Ready to elevate your project with AI/ML expertise? Schedule a 30-minute consultation to:

• Discuss your project’s vision, objectives, and challenges.
• Explore high-level deep-learning opportunities and roadmaps.
• Determine if my services align with your needs.

Please note that this session provides an overview, not in-depth technical advice or solutions. If we decide to work together, we can create a tailored plan that addresses your project’s unique challenges and goals. To schedule a consultation or for any inquiries, please email me at vadim@tabularis.ai.