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Career
·
Ph.D. Candidate in Statistics
,
UC Berkeley
2014–
·
Researcher
,
AMPLab – UC Berkeley
·
Data Scientist
,
Baker McKenzie
Publications
(18)
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
arXiv.org · 2025
1,636
cited
Whole-animal connectomes of both Caenorhabditis elegans sexes
Nature · 2019
724
cited
The Connectome of a Decision-Making Neural Network
Science · 2012
442
cited
Lasso adjustments of treatment effect estimates in randomized experiments
Proceedings of the National Academy of Sciences of the United States of America · 2015
171
cited
Variable Importance Using Decision Trees
Neural Information Processing Systems · 2017
89
cited
The DeepTune framework for modeling and characterizing neurons in visual cortex area V4
bioRxiv · 2018
35
cited
Supervised Neighborhoods for Distributed Nonparametric Regression
International Conference on Artificial Intelligence and Statistics · 2016
31
cited
The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form Input
arXiv.org · 2025
30
cited
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
North American Chapter of the Association for Computational Linguistics · 2025
23
cited
Changepoint Analysis for Efficient Variant Calling
Annual International Conference on Research in Computational Molecular Biology · 2014
3
cited
The Bias is in the Details: An Assessment of Cognitive Bias in LLMs
arXiv.org · 2025
1
cited
The FACTS Leaderboard: A Comprehensive Benchmark for Large Language Model Factuality
arXiv.org · 2025
1
cited
Artificial neurons meet real neurons : pattern selectivity in V 4
2016
Formality Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
Leveraging latent structure in high-dimensional data: causality, neuroscience, and nonparametrics
2016
Plot Twist: Multimodal Models Don’t Comprehend Simple Chart Details
Conference on Empirical Methods in Natural Language Processing · 2024
Variable Importance using Decision Trees, Supplementary Material for NIPS 2017 paper
2017
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