Harsh Parikh
Assistant Professor at Yale University
United States
Summary
👤
Senior🎓
Top SchoolHarsh Parikh is an assistant professor and former Johns Hopkins postdoc who develops interpretable causal inference and machine learning methods to support high-stakes decision-making in healthcare, public health, and business. With 11 years of experience spanning academia and industry—including roles at Duke, Amazon, Meta, and research stints at Yale and the University of Southern Denmark—he focuses on interpretable frameworks for causality, safe experimental design, and robust inference via data fusion. His doctoral thesis and applied projects emphasize validating causal methods through expert audits, synthetic-data simulation, and placebo tests, bridging theory with deployable validation pipelines (e.g., Credence for causal estimator validation). He brings a track record of cross-disciplinary collaboration on critical-care and policy problems and prioritizes social value and equity as guiding principles in research, teaching, and mentorship.
11 years of coding experience
3 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Duke University
English, Hindi, Gujarati, French
Stackoverflow
19reputation
29reached
0answers
1question
Github Skills (11)
mysql6
datasets2
science2
causal2
machine-learning2
python2
inference1
fairness-ml1
causal-inference1
pandas1
data-science1
Programming languages (1)
Github contributions (5)
harsh-parikh/MALTS
Oct 2019 - Aug 2020
Contributions:3 commits, 2 pushes, 1 branch in 10 months
almost-matching-exactly/MALTS
Feb 2019 - Mar 2022
Contributions:108 commits, 1 PR, 106 pushes in 3 years
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