Sriram Sankararaman

Professor

Departments of Computer Science University of California, Los Angeles;Department of Human Genetics, University of California, Los Angeles;Department of Computational Medicine, University of California, Los Angeles

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Bio

My interests lie at the interface of computer science, statistics and biology. I am interested in developing statistical and computational tools to understand evolution as well as the genetic basis of complex phenotypes. I am also interested in the statistical and inferential challenges posed by the scale of genomic data.

Research Interests

Papers共 137 篇Author StatisticsCo-AuthorSimilar Experts

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Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models

Ulzee An, Moonseong Jeong, Simon Lee, Aditya Gorla, Yuzhe Yang,Sriram Sankararaman

ICML 2025 (2025)

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CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation

Aditya Gorla, Ryan Wang, Zhengtong Liu, Ulzee An,Sriram Sankararaman

ICML 2025 (2025)

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Personalized Mood Prediction from Patterns of Behavior Collected with Smartphones

Brunilda Balliu, Chris Douglas,Darsol Seok,Liat Shenhav,Yue Wu,Doxa Chatzopoulou,William Kaiser,Victor Chen,Jennifer Kim,Sandeep Deverasetty,Inna Arnaudova,Robert Gibbons,Eliza Congdon,Michelle G. Craske,Nelson Freimer,Eran Halperin,Sriram Sankararaman,Jonathan Flint

NPJ digital medicineno. 1 (2024): 49-49

Cited0Views0WOSNATUREEIBibtex

Single-cell DNA Methylome and 3D Genome Atlas of the Human Subcutaneous Adipose Tissue

Zeyuan Johnson Chen,Sankha Subhra Das,Asha Kar,Seung Hyuk T Lee, Kevin D Abuhanna,Marcus Alvarez, Mihir G Sukhatme, Kyla Z Gelev,Matthew G Heffel, Yi Zhang,Oren Avram,Elior Rahmani,Sriram Sankararaman,Sini Heinonen,Hilkka Peltoniemi,Eran Halperin,Kirsi H Pietiläinen,Chongyuan Luo,Päivi Pajukanta

bioRxiv the preprint server for biology (2024)

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A Scalable and Robust Variance Components Method Reveals Insights into the Architecture of Gene-Environment Interactions Underlying Complex Traits

Ali Pazokitoroudi, Zhengtong Liu,Andrew Dahl,Noah Zaitlen,Saharon Rosset,Sriram Sankararaman

The American Journal of Human Geneticsno. 7 (2024): 1462-1480

Cited1Views0WOSBibtex

Scalable Summary Statistics-Based Heritability Estimation Method with Individual Genotype Level Accuracy

Moonseong Jeong,Ali Pazokitoroudi, Zhengtong Liu,Sriram Sankararaman

GENOME RESEARCHno. 9 (2024): 1286-1293

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Identifying Novel Genetic and Phenotypic Associations to Genomic Features by Leveraging Off-Target Reads in Exome Sequencing Data

Defne Ercelen,Christa Caggiano,Richard Border,Sriram Sankararaman,Serghei Mangul,Noah Zaitlen,Michael Thompson

biorxiv（2024）

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Characterizing the Genetic Architecture of Drug Response Using Gene-Context Interaction Methods

Michal Sadowski,Mike Thompson,Joel Mefford,Tanushree Haldar,Akinyemi Oni-Orisan,Richard Border,Ali Pazokitoroudi,Na Cai,Julien F. Ayroles,Sriram Sankararaman,Andy W. Dahl,Noah Zaitlen

CELL GENOMICSno. 12 (2024)

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A Scalable Adaptive Quadratic Kernel Method for Interpretable Epistasis Analysis in Complex Traits

Boyang Fu, Prateek Anand,Aakarsh Anand,Joel Mefford,Sriram Sankararaman

GENOME RESEARCH（2024）

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Epigenetic Patient Stratification Via Contrastive Machine Learning Refines Hallmark Biomarkers in Minoritized Children with Asthma

Aditya Gorla,Jonathan Witonsky,Jennifer R Elhawary,Zeyuan Johnson Chen,Joel Mefford,Javier Perez-Garcia,Scott Huntsman,Donglei Hu,Celeste Eng,Prescott G Woodruff,Sriram Sankararaman,Elad Ziv,Jonathan Flint,Noah Zaitlen,Esteban Burchard,Elior Rahmani

Research square (2024)

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Author Statistics

#Papers: 136

#Citation: 10815

H-Index: 37

G-Index: 98

Sociability: 6

Diversity: 3

Activity: 65

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