Amir Kadivar

Currently: big data infrastructure at Stripe.

Previously: CTO at Streamline Genomics. RIP — succumbed to market forces.

Before times: meanderings in computer science, music, biology, and applied math.


(2021)	[tech] vN: dead-simple git branching and artifact versioning
(2020)	[math] Visual guide to hypothesis testing in classification
(2019)	[tech] Tutorial: Behavioral Tests in Django
(2019)	[math] Techniques for Inhomogeneous Linear PDEs
(2018)	[orig] Conduction in the Heart Wall: Helicoidal Fibers Minimize Diffusion Bias
(2018)	[orig] Word-Blot: Sensitive Alignment-free Local Similarity Search with kD-Trees (code)
(2017)	[math] Necessary and Sufficient Conditions for Weak Local Variational Extrema
(2017)	[orig] Predicting GHF in Greenland: A Machine Learning Approach (code)
(2017)	[math] Gradient Boosted Regression Trees, a brief introduction
(2017)	[math] Elementary Linear Algebra Fact Sheet
(2016)	[math] Learning Notes: Measure Theory
(2016)	[bio] Genome Assembly with Long Noisy Reads II (supplements)
(2016)	[neuro] Estimation of Coherence in Local Field Potentials (code)
(2016)	[neuro] Synchronization in Cortical Networks
(2016)	[neuro] Syntactic Capacities of Songbirds
(2015)	[bio] Genome Assembly with Long Noisy Reads I
(2015)	[math] Topological Properties of Dynamical Systems
(2014)	[tech] Automated, end-to-end web app testing
(2013)	[tech] Networking with docker containers using Linux kernel transparent proxies
(2013)	[tech] HowTo: handle MS Access MDB files in Linux
(2011)	[math] A Course in Abstract and Numerical Linear Algebra
(2010)	[math] Bootstrap and Jacknife; Resampling Methods in Estimator Assessment