Noah Cohen Kalafut, PhD Oafish1

Noah Cohen Kalafut, PhD

Hello! Thank you for taking a look at my profile. I'm a machine learning researcher based in the United States 🇺🇸.

I've been passionate about programming and mathematics for as long as I can remember. Being born in 2001, the concept of AI was drastically different than now. However, the idea of AI piqued my interest immediately and has since developed into a hobby and profession. After starting my undergraduate program in 2017, I began independent and sanctioned research projects into reinforcement learning, natural language processing, and computer vision. Later, throughout my PhD from 2020 to 2025, I continued to research machine learning with a particular focus on low-level understanding.

During the course of my education, I've held several roles that have given me opportunities to develop impactful methods and projects, including:

	Managing the creation of an LLM application providing emotional support to mothers in the workforce, including implementation of traditional and reinforcement learning fine-tuning pipelines with an emphasis on user safety.
	Leading research teams in single-cell biology resulting in publications in reinforcement learning, variational methods, graph learning, and optimal transport in Q1 AI and biochemistry journals. Concurrently developing open-source libraries to encourage innovation.
	Developing interactive client-facing dashboards to visualize factors driving KPI. Concurrently performing research into data anonymization and conducting briefings on nascent ML technologies, including generative modeling.
	Designing and maintaining the talent-employer matching algorithm (2018-2022) for 500K+ users, as well as client contract prioritization and outcome prediction. Concurrently maintained cross-team and backend databases.