For a full list of my work, see Google Scholar.

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Recent projects and papers

DINO-EYE: Self-supervised learning for identification of different optic disc phenotypes in primary open-angle glaucoma. Manuscript in revision.

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Novel Knockoff Generation and Importance Measures with Heterogeneous Data via Conditional Residuals and Local Gradients. Package #1, Package #2

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A Vision Transformer model for the detection of glaucoma from optic disc photographs. Manuscript submitted for publication.

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U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks, is presented at SLDS 2024. Code

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Benchmarking open-source large language models, GPT-4 and Claude 2 on multiple-choice questions in nephrology

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Our paper, Fundamental equations linking methylation dynamics to maximum lifespan in mammals, is officially published at Nature Communications. Code

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DDLSNet: A Novel Deep Learning-Based System for Grading Funduscopic Images for Glaucomatous Damage

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RimNet: A Deep Neural Network Pipeline for Automated Identification of the Optic Disc Rim

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Universal DNA methylation age across mammalian tissues

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Inference for High-Dimensional Censored Quantile Regression, Code

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Estimation and Inference for High Dimensional Generalized Linear Models: A Splitting and Smoothing Approach, Code