Hello, I'm Nick and welcome to my GitHub page!
I recently graduated from UCLA with a Master of Science (M.S.) in Statistics and am currently looking for full-time data scientist/data analyst roles. I have experience in machine learning research in various domains, mostly in academic environments, and I previously earned a B.S. in Applied Mathematics at UCLA.
Most recently, I performed research on topics in generative AI at the Trustworthy AI Lab at UCLA. My research emphasized the methodology and application of synthetic data to improve modern statistical/ML models, particularly in terms of robustness, fairness, and differential privacy. Specifically, I investigated the paradigm of privacy auditing -- investigating the true privacy offered by different data synthesis methods, specifically under the risk of membership inference attacks and other attacks on generative models, in an adversarial framework.
Please feel free to check out my website (linked below) for some examples of my work from grad school and research. Thanks!
Please feel free to check out some of my other homes on the web:
[Website](https://nicklauskim.github.io)
[Kaggle](https://www.kaggle.com/nicklauskim)