ABOUT

​

I am an inspiring Ph.D. student in Computer Science with a heavy academic background in applied Data Science. I have a wide range of research experience specializing in democratizing differential privacy for the private fine-tuning of large language models. 

​

The focus of my research is to promote the democratization of differential privacy, making differential privacy technologies more accessible to a broader audience, and explore the usability of such technologies in developing state-of-the-art private fine-tuning algorithms for large language models.