Justin Cosentino - Google Inc. | 人才画像

基本信息

Career Trajectory

Bio

Master's Student at Tsinghua University researching Artificial Intelligence. Previously a Senior Software Engineer at Salesforce. Computer Science graduate of Swarthmore College.

Research Interests

Papers共 13 篇Author StatisticsCo-AuthorSimilar Experts

By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选

Utilizing multimodal AI to improve genetic analyses of cardiovascular traits

Yuchen Zhou,Justin Cosentino,Taedong Yun,Mahantesh I Biradar, Jacqueline Shreibati,Dongbing Lai,Tae-Hwi Schwantes-An,Robert Luben,Zachary McCaw,Jorgen Engmann,Rui Providencia,Amand Floriaan Schmidt,Patricia Munroe,Howard Yang,Andrew Carroll,Anthony P Khawaja,Cory Y McLean,Babak Behsaz,Farhad Hormozdiari

medRxiv : the preprint server for health sciences (2024)

Cited0Views0WOSBibtex

Multimodal LLMs for Health Grounded in Individual-Specific Data

Anastasiya Belyaeva,Justin Cosentino,Farhad Hormozdiari,Krish Eswaran,Shravya Shetty,Greg Corrado,Andrew Carroll,Cory Y. McLean,Nicholas A. Furlotte

MACHINE LEARNING FOR MULTIMODAL HEALTHCARE DATA, ML4MHD 2023 (2024): 86-102

Cited1Views0EIBibtex

Towards a Personal Health Large Language Model

Justin Cosentino,Anastasiya Belyaeva,Xin Liu,Nicholas A. Furlotte, Zhun Yang,Chace Lee, Erik Schenck,Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant,Ryan G. Gomes,Allen Jiang, Roy Lee,Yun Liu, Javier Perez,Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu,Tim Althoff,Conor Heneghan,John Hernandez,Mark Malhotra, Leor Stern,Yossi Matias,Greg S. Corrado,Shwetak Patel,Shravya Shetty,Jiening Zhan,Shruthi Prabhakara,Daniel McDuff,Cory Y. McLean

CoRR (2024)

Cited9Views0EIBibtex

Unsupervised Representation Learning on High-Dimensional Clinical Data Improves Genomic Discovery and Prediction

Taedong Yun,Justin Cosentino,Babak Behsaz,Zachary R. McCaw,Davin Hill,Robert Luben,Dongbing Lai,John Bates,Howard Yang,Tae-Hwi Schwantes-An,Yuchen Zhou,Anthony P. Khawaja,Andrew Carroll,Brian D. Hobbs,Michael H. Cho,Cory Y. Mclean,Farhad Hormozdiari

NATURE GENETICS (2024)

Cited0Views0WOSNATUREBibtex

Inference of Chronic Obstructive Pulmonary Disease with Deep Learning on Raw Spirograms Identifies New Genetic Loci and Improves Risk Models

Justin Cosentino,Babak Behsaz,Babak Alipanahi,Zachary R. McCaw,Davin Hill,Tae-Hwi Schwantes-An,Dongbing Lai,Andrew Carroll,Brian D. Hobbs,Michael H. Cho,Cory Y. McLean,Farhad Hormozdiari

Nature genetics（2023）

Cited5Views0WOSNATUREBibtex

Deep learning model improves COPD risk prediction and gene discovery

Justin Cosentino,Farhad Hormozdiari

NATURE GENETICSno. 5 (2023): 738-739

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Unsupervised Representation Learning Improves Genomic Discovery and Risk Prediction for Respiratory and Circulatory Functions and Diseases

Taedong Yun,Justin Cosentino,Babak Behsaz,Zachary R McCaw,Davin Hill,Robert Luben,Dongbing Lai,John Bates,Howard Yang,Tae-Hwi Schwantes-An, Yuchen Zhou,Anthony P Khawaja,Andrew Carroll,Brian D Hobbs,Michael H Cho,Cory Y McLean,Farhad Hormozdiari

medRxiv the preprint server for health sciences (2023)

Cited0Views0WOSBibtex

Unsupervised representation learning improves genomic discovery for lung function and respiratory disease prediction

Taedong Yun,Justin Cosentino,Babak Behsaz,Zachary R. McCaw,Davin Hill,Robert Luben,Dongbing Lai,John E. Bates,Howard H. Yang,Tae‐Hwi Schwantes‐An,Anthony P. Khawaja,Andrew Carroll,Brian D. Hobbs,Michael H. Cho,Cory Y. McLean,Farhad Hormozdiari

medRxiv (Cold Spring Harbor Laboratory) (2023)

Cited1Views0Bibtex

An Empirical Study of ML-based Phenotyping and Denoising for Improved Genomic Discovery

Bo Yuan,Farhad Hormozdiari,Cory Y. McLean,Justin Cosentino

biorxiv（2022）

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Leveraging deep-learning on raw spirograms to improve genetic understanding and risk scoring of COPD despite noisy labels

Justin Cosentino,Babak Behsaz,Babak Alipanahi,Zachary R. McCaw,Davin Hill,Tae-Hwi Schwantes-An,Dongbing Lai,Andrew Carroll,Brian D. Hobbs,Michael H. Cho,Cory Y. McLean,Farhad Hormozdiari

medRxiv (Cold Spring Harbor Laboratory) (2022)

Cited1Views0Bibtex

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