Lisa Dunlap
PhD Student at University of California, Berkeley
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolLisa Dunlap is a PhD student at UC Berkeley with nine years of experience at the intersection of vision, language, and explainable AI, currently focused on LLM/VLM evaluation and automated data analysis. She combines academic rigor from BAIR and RISELab with industry research experience at Adobe and Splunk, building evaluation pipelines for generative models and robust, advisable NLP systems. Her work spans systems and applied ML—ranging from distributed hyperparameter search to visualization-driven analysis of decision-tree behavior on CIFAR datasets. Active in community-driven evaluation through Chatbot Arena, she blends experimental tooling, explainability, and empirical analysis to push meaningful benchmarks for GenAI. An interdisciplinary thinker, she also brings field-research pragmatism from earlier data-collection work in ecology, which informs her careful approach to noisy real-world datasets.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA Mathematics and Computer Science, Bachelor of Arts - BA Mathematics and Computer Science at University of California, Berkeley
Github Skills (9)
pandas10
decision-tree10
jupyter-notebook10
seaborn10
cifar10010
python10
matplotlib10
image-classification9
interpretation9
Programming languages (3)
Github contributions (5)
alvinwan/neural-backed-decision-trees
Feb 2020 - Feb 2020
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Role in this project:
Data Scientist
Data ScientistContributions:11 commits in 6 days
Contributions summary:Lisa's contributions center on analyzing and visualizing CIFAR10 decision tree metrics. They added a Jupyter Notebook to analyze the CIFAR10 dataset, including preprocessing steps like loading and parsing data. The notebook calculates and presents per-class statistics such as accuracy, path length, and backtrack counts. Subsequent commits merged visualization-related changes, indicating a focus on data exploration and analysis.
pytorchdecision-makingimagenettreesresnet
lisadunlap/VAE-GAN
May 2019 - Dec 2019
Contributions:6 commits, 9 pushes, 1 branch in 6 months
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