Yenisel’s expertise lies in the intersection of computer science, machine learning, and data science. With a master in Computer Science and a PhD in Machine Learning from Delft University of Technology, she focuses on translating academic insights into practical applications that make a significant societal impact. She has extensive experience developing real-world AI applications for industry.
Her research interests include the development of alternative representations for machine learning, the responsible use of AI, and combining expert knowledge, heuristics, and data-driven insights to tackle problems comprehensively. Currently, she is engaged in projects leveraging AI and large language models (LLMs) for scientific and industrial applications.
Keywords:
- Machine Learning,
- Artificial Intelligence,
- LLMs
My work at BISS
Incorporating Semantic Representations in Deep Learning for Improved Sound Recognition
Bridging auditory perception and natural language processing with semantically informed deep neural networks.
AI to prevent poverty and debt
1 in 14 children in the Netherlands grow up in poverty. This is unacceptable, so we are doing something about it!
Enhancing customer support with AI
Improving the efficiency of customer support by using AI to answer the most common questions.
How can we recognize sound when it is out of sight?
We combine AI and neuroscience to find out more about how the brain works when it recognizes sounds.
Prevent factory shutdowns
How can we ensure an operator responds effectively to alarms and takes appropriate actions?
What is the content of Livestock feed?
Using data analysis, we assist farmers by translating feed labels into information about actual contents of the feed