Yevgeniy Vorobeychik

6PUBLICATIONS
16CO-AUTHORS
Semi- and unsupervised learningQuery processing and optimisationHuman information behaviourData models, storage and indexingGene expression (incl. microarray and other genome-wide approaches)
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Publications (6)

|Mar 08, 2025
Large language models are less effective at clinical prediction tasks than locally trained machine learning models.

Katherine E Brown, Chao Yan, Zhuohang Li

|Dec 16, 2024
Not the Models You Are Looking For: Traditional ML Outperforms LLMs in Clinical Prediction Tasks.

Katherine E Brown, Chao Yan, Zhuohang Li

|May 22, 2023
Enabling tradeoffs in privacy and utility in genomic data Beacons and summary statistics.

Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A Malin

|Apr 28, 2023
Implicit Incentives Among Reddit Users to Prioritize Attention Over Privacy and Reveal Their Faces When Discussing Direct-to-Consumer Genetic Test Results: Topic and Attention Analysis.

Yongtai Liu, Zhijun Yin, Zhiyu Wan

|Dec 10, 2021
Using game theory to thwart multistage privacy intrusions when sharing data.

Zhiyu Wan, Yevgeniy Vorobeychik, Weiyi Xia

|Nov 17, 2021
Re-identification of individuals in genomic datasets using public face images.

Rajagopal Venkatesaramani, Bradley A Malin, Yevgeniy Vorobeychik

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Frequent Collaborators

6 joint publications

Bradley A Malin

4 joint publications

Ellen Wright Clayton

3 joint publications

Zhiyu Wan

3 joint publications

Chao Yan