Sara Taheri
Scientist I, Causal Inference Specialist at Etiome
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolSara Taheri is a causal inference scientist with a decade of experience translating statistical theory into practical models for biology and precision medicine. Currently building Etiome’s causal framework to map how perturbing upstream genes affects downstream targets and disease states, she blends PhD-level machine learning research with hands-on implementation. Her background includes predictive causal modeling and biological data analysis at GNS Healthcare and extensive doctoral work at Northeastern, underpinned by applied mathematics degrees from Sharif University. An active contributor to open-source causal ML tooling, she has prototyped Bayesian networks and V-structure analyses on real-world transportation and biological datasets, highlighting a knack for interpretable models and visual communication of causal insights.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Northeastern UniversityMaster's degree, Applied Mathematics, Master's degree, Applied Mathematics at Sharif University of Technology
Github Skills (9)
bayesian-network10
causal10
machine-learning10
causality10
r10
data-analysis10
data-visualisation9
data-visualization9
data-visualizations9
Programming languages (5)
Github contributions (5)
altdeep/causalML
Jan 2020 - Sep 2020
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
Role in this project:
Data Scientist
Data ScientistContributions:25 commits, 11 PRs, 26 pushes in 8 months
Contributions summary:Sara contributed to the project by developing and refining a causal model. They experimented with a Bayesian network model and a V-structure using the bnlearn package in R. The commits demonstrate a focus on understanding causal relationships and applying techniques from causal inference to the provided transportation survey dataset. The user also worked to visualize data, model predictions, and test models.
causalmlworkshopcausalmachine-learningmodeling
srtaheri/msstats-qc
May 2016 - Mar 2018
Contributions:4 releases, 131 pushes, 1 branch in 1 year 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.