United States
Hi, I'm Tobias Lin, an aspiring quant with a deep passion in Math and Computer Science. I thrive in fast-paced environments where adaptability and quick learning are key, and I'm always seeking challenges that push me beyond my comfort zone. Currently, I'm refining my skills through rigorous coursework, detailed projects, and hands-on research experiences at NYU. I bring curiosity, diligence, and a touch of creativity to everything I do. I'm eager to collaborate, contribute, and grow in new environments where analytical thinking evolves into real-world impact. In the future, I'm looking for a role in quantitative finance or machine learning, building software at the forefront of technological innovation. I'm always up for a challenge and a discussion of a clever solution, because even solved problems can always be solved a little bit better. Feel free to reach out anytime! Check out my github here: https://github.com/TobiasLin6
- Modified and combined various auto research architectures like Anthropic’s weak-to-strong researcher and Google Deepmind’s co-scientist to develop an optimal architecture for general biology research. - Verified auto research architecture viability with colorectal cancer classification from gut-bacteria data, achieving a model with a similar AUROC value as the current record at ~0.81
- Explored machine learning pipeline from problem selection to deployment through labs and projects. - Developed intuition for common machine learning techniques from data cleaning to model evaluation and feature selection