nima hejazi's Projects
Data Carpentry workshop, Lawrence Berkeley National Laboratory, 3-4 May
:package: :microscope: R/adaptest: Multiple Hypothesis Testing with Data-Adaptive Target Parameters in High-Dimensional Biology
🧩 :computer: Advent of Code 2021
:school_satchel: Python for Data Science (Astronomy 250 seminar course at UC Berkeley)
:package: :microscope: R/biotmle: Targeted Learning with Moderated Statistics for Biomarker Discovery
:package: Bioconductor data package associated with the biotmle R package
Template repository for BST 258 problem sets
Style package for directly including color emojis in latex documents
Poster: "Nonparametric variable importance for continuous exposures with applications in high-dimensional biology," for the Atlantic Causal Inference Conference 2017
Poster "Robust Nonparametric Inference for Stochastic Interventions Under Multi-Stage Sampling" for the Atlantic Causal Inference Conference, May 2018
Poster "Nonparametric-efficient causal mediation analysis for stochastic interventions" for the Atlantic Causal Inference Conference, May 2019
Poster "Variance Moderation of Locally Efficient Estimators and Supervised Clustering in High-Dimensional Biology" for the annual retreat of the UC Berkeley Center for Computational Biology, November 2018
:bar_chart: Entry using Super Learner for the causal inference challenge at CRM 2016
Lightning talk and poster "Robust inference on the causal effects of stochastic interventions under two-phase sampling, with applications in vaccine efficacy trials" for JSM 2019
Presentation "Leveraging the causal effects of stochastic interventions to evaluate vaccine efficacy in two-phase trials" for the annual meeting of the Society for Epidemiologic Research, Dec. 2020
Presentation "Causal evaluation of COVID-19 immune correlates of protection via stochastic intervention effects" for the annual meeting of the Society for Epidemiologic Research, June 2021
Poster "Semiparametric estimation and robust empirical Bayes inference in high-dimensional biological studies" for the annual conference of the Superfund Research Program, November 2019
Software Carpentry introduction to Git for novices.
A bit of entertainment for when your head is stuck in a :shell:...
:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
Version control lecture for WCM's HBDS 5018: Data Science I (R + Python)
A Hugo theme built using Yahoo's Pure CSS
:computer: customization scripts for fresh installs of macOS/OSX
:black_nib: My master's thesis: "Generalized application of empirical Bayes statistics to asymptotically linear parameters"
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
:package: :game_die: R/medshift: Causal Mediation Analysis for Stochastic Interventions
:package: :microscope: R/methyvim: Targeted, Robust, and Model-free Differential Methylation Analysis
:package: Bioconductor data package associated with the methyvim R package
:wrench: :computer: personalized dumpster fire of config files for Linux and macOS
:computer: custom config for the macOS management tool Hammerspoon