Jun Wen

Jun Wen, PhD

Research Fellow in Biomedical Informatics
Cai Lab

Jun Wen is a postdoctoral fellow at Harvard Medical School, working with Professor Tianxi Cai in Translational Data Science Center for a Learning Health System (CELEHS). Wen’s research is about computer-aided healthcare system, with the goal of helping more people enjoy healthier life and the focus of EHRs data, knowledge transfer, multimodal learning. He received his Ph.D. degree of Computer Science in 2020 from Zhejiang University.

Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records.
Authors: Nogues IE, Wen J, Zhao Y, Bonzel CL, Castro VM, Lin Y, Xu S, Hou J, Cai T.
J Biomed Inform
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LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.
Authors: Wen J, Hou J, Bonzel CL, Zhao Y, Castro VM, Gainer VS, Weisenfeld D, Cai T, Ho YL, Panickan VA, Costa L, Hong C, Gaziano JM, Liao KP, Lu J, Cho K, Cai T.
Patterns (N Y)
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Multimodal representation learning for predicting molecule-disease relations.
Authors: Wen J, Zhang X, Rush E, Panickan VA, Li X, Cai T, Zhou D, Ho YL, Costa L, Begoli E, Hong C, Gaziano JM, Cho K, Lu J, Liao KP, Zitnik M, Cai T.
Bioinformatics
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Identification of cutaneous immune-related adverse events by International Classification of Diseases codes and medication administration.
Authors: Chen W, Wan G, Nguyen N, Leung B, Wen J, Collier MR, Kwatra SG, Semenov YR.
JAAD Int
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A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record.
Authors: Ahuja Y, Wen J, Hong C, Xia Z, Huang S, Cai T.
Sci Rep
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Weakly Semi-supervised phenotyping using Electronic Health records.
Authors: Nogues IE, Wen J, Lin Y, Liu M, Tedeschi SK, Geva A, Cai T, Hong C.
J Biomed Inform
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Computational Analysis of Missense Variants of G Protein-Coupled Receptors Involved in the Neuroendocrine Regulation of Reproduction.
Authors: Min L, Nie M, Zhang A, Wen J, Noel SD, Lee V, Carroll RS, Kaiser UB.
Neuroendocrinology
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KISS1R signals independently of Gaq/11 and triggers LH secretion via the ß-arrestin pathway in the male mouse.
Authors: Ahow M, Min L, Pampillo M, Nash C, Wen J, Soltis K, Carroll RS, Glidewell-Kenney CA, Mellon PL, Bhattacharya M, Tobet SA, Kaiser UB, Babwah AV.
Endocrinology
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