Summary
Oliver Muellerklein is a PhD candidate at UC Berkeley combining 11 years of data science and AI experience with deep ecological and conservation domain knowledge. He researches how transformers and LLMs reveal shifting corporate, public, and government language about climate over time, and has translated that work into 12 publications and an NSF-funded interdisciplinary data science fellowship. As a private tutor with 1,200+ hours and 259 five-star reviews, he specializes in teaching AI, LLMs, and data science, helping practitioners and students navigate practical chatbot and model challenges. His background spans applied research, startup contracts in cybersecurity and geospatial analytics, and interactive browser-based modeling and visualization, reflecting a rare blend of field ecology, high-performance computation, and product-focused ML. He also builds educational tech—having won hackathons for games teaching financial literacy—showing a persistent drive to make complex technical ideas accessible.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at University of California, Berkeley
Biological Sciences, Computational Ornithology, Biological Sciences, Computational Ornithology at UMBC
English, Spanish, German