About Me

Iman Jaljuli
I'm a statistical genomics post-doc at Stanford University, passionate about exploring genomic data and developing rigorous, efficient methods for molecular QTL analysis with a particular passion for replicability investigation.
My research spans statistical methodology for both large-scale and low-dimensional data, emphasizing real-world impact, computational efficiency, and the value of cross-disciplinary collaboration.
Outside of research, I enjoy baking, exploring nature trails, and spending time with family. This site highlights my work, collaborations, and the occasional baked treat.
Research
Current Projects
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Using knockoffs for the analysis of molecular QTL data
Developing a statistical framework to improve the identifiability of causal SNPs within gene cis-windows. This approach leverages knockoff-based inference and demonstrates high power in detecting true associations while maintaining the nominal type I error rate.
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Exploring multi-population gene–variant associations with adapted ANOVA
Extending the ANOVA framework to handle unbalanced molecular QTL data across diverse populations, offering unbiased estimation and type I error rate control in both low and high dimensions. The model incorporates a random covariance structure that accounts for both sample kinship and estimated (unmeasured) batch effects.
Research Interests
- Replicability & Reproducibility
- Statistical Genomics
- Linear Mixed Models
- Generalized Linear Models
- Meta-analysis
Publications
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Revisiting Tumor Mutational Burden Cutoff: Multi-Study Replicability in Immunotherapy
bioRxiv, 2025.01. 02.631104, 2025
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Quantifying replicability and consistency in systematic reviews
Statistics in Biopharmaceutical Research 15 (2), 372-385, 2023
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PLoS biology 21 (5), e3002082, 2023
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The epidemiology of substance use disorders among the adult Jewish population in Israel
European addiction research 27 (5), 362-370, 2021
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Improving replicability using interaction with laboratories: a multi-lab experimental assessment
bioRxiv, 2021.12. 05.471264, 2021
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International journal of molecular sciences 21 (18), 6715, 2020
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Single cell ADNP predictive of human muscle disorders: mouse knockdown results in muscle wasting
Cells 9 (10), 2320, 2020
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Journal of Neural Transmission 127, 251-263, 2020
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Replicability of treatment effect in study of blood pressure lowering with dementia
Jama 324 (14), 1465-1466, 2020
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Reproducibility and replicability of rodent phenotyping in preclinical studies
Neuroscience & Biobehavioral Reviews 87, 218-232, 2018
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Addressing reproducibility in single-laboratory phenotyping experiments
Nature methods 14 (5), 462-464, 2017
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Hormones and Behavior 90, 90-97, 2017
Teaching
2014-2022 Tel-Aviv University, Teaching Assistant
- Linear Models (for M.s.c students x2 semesters).
- Statistical Theory (x4 semesters).
- Introduction to Statistics for Computer Science (x2 semesters).
- Introduction to Statistics for Statisticians (x1 semesters).
- Introduction to Probability & Statistics for Electrical Engineers (x1 semesters).
- Statistics for Biologists (x5 semesters).
- Statistics 1 for Economy Major (x2 semesters).
- Probability and Statistics for Computer Science - Double Major (x2 semesters).
Contact
Palo Alto, CA
USA