My current research focus revolves mainly around causal inference. Both applications (mainly around healthcare) and methodology (including usability). I also dabble in information visualization and genetic-based risk models (polygenic risk scores). Prior to that, I worked on computational methods in molecular biology (genomics and transcriptomics). In addition to academic publications, I also issued several patents in the US.
I will do my best to keep this listing updated, but in the plausible case I won’t, please see my Google Scholar page for the latest version.
Publications
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    Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation
 
 AISTATS (2025)
 
 
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    Peri-operative anti-inflammatory drug use and seizure recurrence after resective epilepsy surgery: Target trials emulation
 
 iScience (2025)
 
 
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    Single-microglia transcriptomic transition network-based prediction and real-world patient data validation identifies ketorolac as a repurposable drug for Alzheimer's disease
 
 Alzheimer's & Dementia (2024)
 
 
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    Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa
 
 International Joint Conference on Artificial Intelligence (IJCAI) (2024)
 
 
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    Improving Inverse Probability Weighting by Post-calibrating Its Propensity Scores
 
 Epidemiology (2024)
 
 
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    Causalvis: Visualizations for Causal Inference
 
 CHI: Conference on Human Factors in Computing Systems (2023)
 
 
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    FairPRS: adjusting for admixed populations in polygenic risk scores using invariant risk minimization
 
 Pacific Symposium on Biocomputing (2023)
 
 
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    Screening human embryos for polygenic traits has limited utility
 
 Cell (2019)
 
 
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    A discriminative approach for finding and characterizing positivity violations using decision trees
 
 Arxiv (2019)
 
 
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    Predicting breast cancer by applying deep learning to linked health records and mammograms
 
 Radiology (2019)
 
 
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    An evaluation toolkit to guide model selection and cohort definition in causal inference
 
 Arxiv (2019)
 
 
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    Comment: causal inference competitions: where should we aim?
 
 Statistical Science (2019)
 
 
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    *In vivo* cleavage rules and target repertoire of RNase III in *Escherichia coli*
 
 Nucleic Acids Research (2018)
 
 
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    Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis
 
 Arxiv (2018)
 
 
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