AY anjana yatawara

◆ statistician & applied mathematician

Anjana Yatawara

Assistant Professor of Mathematics & Statistics·CSU Bakersfield

I study how complex systems encode and forget information — from financial volatility

Explore the research or press ⌘K
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Portrait of Anjana Yatawara CSU Bakersfield

About

I'm a statistician and applied mathematician studying how financial markets encode and forget information. My research develops new econometric models for volatility persistence, applies machine learning to public health forecasting, and investigates income-based environmental exposure disparities.

I also build AI-powered tools that help students learn statistics — work supported by the California Learning Lab. At CSUB I teach from elementary statistics to mathematical statistics and applied data science, and I mentor undergraduate researchers across multiple funded programs.

volatility econometrics machine learning environmental justice AI in education
100+
financial assets in the volatility study
0.27
α — the shape of market memory
2
funded research grants (PI & Co-PI)
Free
KernelStats, for everyone
01

▸What I work on

// four domains

Volatility, Memory & Markets

How financial markets remember. New models for volatility persistence across equities, FX, commodities, crypto, and VIX — and the finding that markets forget sub-exponentially.

Building Statistical Thinkers

Teaching statistics with real data, computational tools, and AI-assisted learning — equipping students to think critically with data and work alongside AI, not be replaced by it.

Data Science for Decisions

AI-automated analytics dashboards, time-series forecasting, and rigorous modeling for organizations — academic depth meets applied problem-solving, through CSUB.

KernelStats

A free, open-source statistics platform that runs in your browser — built to replace $1,700–$8,700/yr tools so anyone can run real analysis. No license. No barriers.
02

▸Meet Yatta Jr.

my AI assistant

Meet Yatta Jr. — my AI assistant. Ask anything about my research, teaching, and tools for an instant answer — or spin up a private AI that runs right in your browser. Reachable anywhere with ⌘K.

03

▸Recent & selected work

Income-Based Exposure Disparities Across California Counties, 2000–2023: A Generalizable Statistical Framework
A. Yatawara, K. Ko, C. Rodriguez
Environmental Research: Health, 2025
Paper ↗published
Evaluating Fine-Scale Air-Quality Heterogeneity Using a Low-Cost Multipollutant Sensor Network in Twin Cities, Minnesota
A. Yatawara et al.
ACS ES&T Air, 2025
Paper ↗published
The Shape of Volatility Memory: Sub-Exponential ARCH(∞) Kernels Across 100+ Financial Assets
A. Yatawara
Working paper — target: Journal of Business & Economic Statistics
in production
MF2V-GARCH: Augmenting Multi-Factor Volatility with Smoothed Trading Volume
A. Yatawara
Working paper — target: Journal of Forecasting
in production
See all publications →

◆ open source · free forever

Statistics for everyone, in the browser

KernelStats replaces Minitab, JMP, and SAS — 132 statistical methods, a Variable Doctor, GARCH models, an ML pipeline, and plain-English output. No install. No license. No barriers.

Open kernelstats.com Learn more
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◆ for fun · play in browser

I make games, too.

Statistics you can play — and a couple of things that are just chaos. Built for fun. I bear no responsibility for lost hours.

Acts of the Continuous Sigma Strike Revenge of the Basco
Enter the arcade

◆ let's talk

Research, teaching, or a data problem?

Reach out about collaborations, student opportunities, consulting through CSUB, or just to say hi.

ayatawara@csub.edu View CV